Bial Namespace Reference

Adjacency relation with indexes following gray code sequency.
Future add-on's: none. More...

Namespaces
	AdjacencyType
	Binary
	Bit
	Gray code based functions.
	Brain
	ColorSpace
	Curve
	Edge
	FeatureResize
	FileFeature
	Filtering
	Geometrics
	Gradient
	Computes image gradients.
	Heart
	Hough
	ImageInterpolation
	ImageOp
	Intensity
	Image intensity manipulation class.
	KernelType
	MatrixOp
	Morphology
	Morphological opperations over images.
	OPF
	SampleType
	Segmentation
	Image segmentation methods.
	SignalOp
	SignalType
	Sorting
	Extensions for sorting methods.
	Statistics
	Transform

Classes
class	Adjacency
	Adjacency relation and forward iteratior related to a matrix. More...
class	AdjacencyIterator
	Adjacency iterator. More...
class	Array
	A array that calls almost all std::array functions (C++11 standard). More...
class	BBox
	The BBox class is a Bounding Box with 8 vertices, and can be represented by 2 points (6coordinates). More...
class	Box
	Box Figure class. More...
class	BucketQueue
	Standard bucket queue class, that may work with both integer or real values. More...
class	Cell
	The Cell class is used in MarchingCubes algorithm to describe a single marching cube data. More...
class	ChessBoardDistanceFunction
class	Circle
class	CityBlockDistanceFunction
class	ClusteringIFT
union	Color
class	Common
	Commonly used macros, types, static variables and functions. More...
class	ConnPathFunction
class	DegeneratedIFT
class	DFIDE
class	DicomHeader
class	DifferentialGeometry
	The DifferentialGeometry class is a parametric representation of the Shape geometry. More...
class	DiffPathFunction
class	DiffusionFunction
	Diffusion functions to compute annisotropic filtering and other algorithms. More...
class	Display
class	DistanceFunction
class	EdgeMaxPathFunction
class	EuclideanDistanceFunction
class	FastTransform
class	Feature
	Feature vector class. It is essentialy a matrix where, the first dimention refers to the feature and the other dimension to the element. More...
class	FeatureDistanceFunction
class	Figure
class	FuzzyCMeans
class	GaussianDiffusionFunction
class	GDCM
class	GeodesicDistancePathFunction
class	GeodesicRestrictionPathFunction
class	Graph
class	GraphAdjacency
	Graph Operator classes. Used to compute OPF. May use Knn, LSH, etc. More...
class	gzstreambase
class	gzstreambuf
class	HierarchicalGraph
class	HierarchicalPathFunction
struct	HoughDecreaseCompare
	Class is used to compare elements in decreasing order to sort hough circle candidates. More...
struct	HoughIncreaseCompare
	Class is used to compare elements in increasing order to sort hough circle candidates. More...
class	IdentityNode
class	igzstream
class	Image
	The Image class is used to handle N-Dimensional images, and has support to Read and Write image files. More...
class	ImageIFT
class	InfBucketQueue
class	Integral
	A class to handle integral image. More...
class	Kernel
	Kernel and forward iteratior related to a matrix. More...
class	KernelIterator
class	KnnGraphAdjacency
class	Line
class	LinearInterpolation
class	LocalMaxPathFunction
class	LSHGraphAdjacency
class	MarchingCubes
	Algorithm proposed by Lorensen and Cline to extract triangle meshes from isosurfaces. More...
class	Matrix
	dimensional matrix handeling. When acessed by (x, y), or (x, y, z) operator, index x corresponds to the index of the column, and index y corresponds to the index of the row. This standard comes from text printing order and image display and storage in most of the computer systems. More...
class	MaxPathFunction
class	MaxSumPathFunction
class	MinimumSpanningTree
	Minimum spanning three algorithm. More...
class	MinPathFunction
class	MultiImage
	The MultiImage class may have only one of the following image types: int, float, Color, or RealColor. More...
class	NearestInterpolation
class	NiftiHeader
	Magnetic Resonance Image class. More...
class	Normal
	The Normal class is the geometric representation of a Normal in 3D space. A surface normal (or just normal) is a vector that is perpendicular to a surface at a particular position. It can be defined as the cross product of any two nonparallel vectors that are tangent to the surface at a point. The implementations of Normal3D and Vector3D are very similar. Like vectors, normals are represented by three floats x, y, and z; they can be added and subtracted to compute new normals; and they can be scaled and normalized. However, a normal cannot be added to a point, and one cannot take the cross product of two normals. More...
class	ogzstream
class	OrientedExternPathFunction
class	OrientedInternPathFunction
class	PathFunction
	Path function to compute the initial path-values and propagated path-values. More...
class	PixelInterpolation
	Geometric transforms that change image spatially. More...
class	Plotting
	Plotting algorithms. More...
class	PNMHeader
	PNM Header class. More...
class	Point
class	Point3D
	The Point3D class is a Geometric representation of a point in 3D space. A point is a zero­dimensional location in 3D space. More...
class	PowerDiffusionFunction
class	PreEuclideanDistanceFunction
class	RandomQueue
	A random-acess queue. Its size is fixed. As soon as it gets full, the first inserted element is automatically replaced by the next inserted element. It is useful to find the median element as walking through signal or image data, e.g. MedianFilter method of Signal class. Insertion and removal are made in limiar time with respect to the queue size. Access to ordered keys by position is made in constant time. More...
class	Ray
	The Ray class is a mathematic representation of a light ray. A ray is a semi­infinite line specified by its origin and direction. More...
class	RealColor
	Class RealColor is used to handle multi-channels in pixels with floating point values. More...
class	RobustDiffusionFunction
class	Sample
	Methods for sampling elements. More...
class	Sequence
class	Shape
class	Signal
	Signal handeling declaration. More...
class	SquareEuclideanDistanceFunction
class	SumPathFunction
class	Superpixel
class	Table
class	TableCell
	TableCell is the data type that composes the Table class cells. More...
class	TableColumn
class	TElementId
	DICOM DATA ELEMENT. More...
class	TGroupId
	DICOM DATA BLOCK. More...
class	Transform3D
	The Transform3D class holds affine matrices and is used to apply geometric transformations over cartesian coordinates. The affine transformation multiplies the coordinates vector to the affine matrix. More...
class	Triangle
	Simple triangle Shape, used in TriangleMesh. More...
class	TriangleMesh
class	Vector
class	Vector3D
	The Vector3D class is a Geometric representation of a vector direction in 3D space. More...
class	Vector< bool >
class	WeightNode

Enumerations
enum	BucketState : char { BucketState::NOT_VISITED = 0, BucketState::INSERTED = 1, BucketState::UPDATED = 2, BucketState::REMOVED = 3 }
enum	DistanceFunctionType : char {   DistanceFunctionType::Euclidean, DistanceFunctionType::PreEuclidean, DistanceFunctionType::SquareEuclidean, DistanceFunctionType::CityBlock,   DistanceFunctionType::ChessBoard }
enum	MRIModality : char { MRIModality::UNKNOWN = 0, MRIModality::T1 = 1, MRIModality::T2 = 2, MRIModality::PD = 3 }
	MRI modality. More...
enum	MultiImageType : char {   MultiImageType::none, MultiImageType::int_img, MultiImageType::flt_img, MultiImageType::clr_img,   MultiImageType::rcl_img }
	The MultiImageType class is used to identify which image type is open in MultiImage. More...
enum	NiftiType : short {   NiftiType::UINT8 = 2, NiftiType::INT16 = 4, NiftiType::INT32 = 8, NiftiType::FLOAT32 = 16,   NiftiType::FLOAT64 = 64, NiftiType::INT8 = 256, NiftiType::UINT16 = 512, NiftiType::UINT32 = 768,   NiftiType::INT64 = 1024, NiftiType::UINT64 = 1280 }
enum	NiftiIntent : short {   NiftiIntent::NONE = 0, NiftiIntent::CORREL = 2, NiftiIntent::TTEST = 3, NiftiIntent::FTEST = 4,   NiftiIntent::ZSCORE = 5, NiftiIntent::CHISQ = 6, NiftiIntent::BETA = 7, NiftiIntent::BINOM = 8,   NiftiIntent::GAMMA = 9, NiftiIntent::POISSON = 10, NiftiIntent::NORMAL = 11, NiftiIntent::FTEST_NONC = 12,   NiftiIntent::CHISQ_NONC = 13, NiftiIntent::LOGISTIC = 14, NiftiIntent::LAPLACE = 15, NiftiIntent::UNIFORM = 16,   NiftiIntent::TTEST_NONC = 17, NiftiIntent::WEIBULL = 18, NiftiIntent::CHI = 19, NiftiIntent::INVGAUSS = 20,   NiftiIntent::EXTVAL = 21, NiftiIntent::PVAL = 22, NiftiIntent::LOGPVAL = 23, NiftiIntent::LOG10PVAL = 24,   NiftiIntent::FIRST_STAT = 2, NiftiIntent::LAST_STAT = 24, NiftiIntent::ESTIMATE = 1001, NiftiIntent::LABEL = 1002,   NiftiIntent::NEURONAME = 1003, NiftiIntent::GENMATRIX = 1004, NiftiIntent::SYMMATRIX = 1005, NiftiIntent::DISPVECT = 1006,   NiftiIntent::VECTOR = 1007, NiftiIntent::POINTSET = 1008, NiftiIntent::TRIANGLE = 1009, NiftiIntent::QUATERNION = 1010,   NiftiIntent::DIMLESS = 1011, NiftiIntent::TIME_SERIES = 2001, NiftiIntent::NODE_INDEX = 2002, NiftiIntent::RGB_VECTOR = 2003,   NiftiIntent::RGBA_VECTOR = 2004, NiftiIntent::SHAPE = 2005 }
	NIFTI1_INTENT: nifti1 intent codes, to describe intended meaning of dataset contents. More...
enum	NiftiXForm : short {   NiftiXForm::UNKNOWN = 0, NiftiXForm::SCANNER_ANAT = 1, NiftiXForm::ALIGNED_ANAT = 2, NiftiXForm::TALAIRACH = 3,   NiftiXForm::MNI_152 = 4 }
	NIFTI1_XFORM_CODES: nifti1 xform codes to describe the "standard" x,y,z coordinate system. More...
enum	NiftiUnit : char {   NiftiUnit::UNKNOWN = 0, NiftiUnit::METER = 1, NiftiUnit::MM = 2, NiftiUnit::MICRON = 3,   NiftiUnit::SEC = 8, NiftiUnit::MSEC = 16, NiftiUnit::USEC = 24, NiftiUnit::HZ = 32,   NiftiUnit::PPM = 40, NiftiUnit::RADS = 48 }
	NIFTI1_UNITS: nifti1 units codes to describe the unit of measurement for each dimension of the dataset. More...
enum	NiftiSlice : char {   NiftiSlice::UNKNOWN = 0, NiftiSlice::SEQ_INC = 1, NiftiSlice::SEQ_DEC = 2, NiftiSlice::ALT_INC = 3,   NiftiSlice::ALT_DEC = 4, NiftiSlice::ALT_INC2 = 5, NiftiSlice::ALT_DEC2 = 6 }
	NIFTI1_SLICE_ORDER: nifti1 slice order codes, describing the acquisition order of the slices. More...
enum	TableCellType : char { TableCellType::INT = 0, TableCellType::FLT = 1, TableCellType::STR = 2 }

Functions
template<class O >
O &	operator<< (O &os, const Adjacency &adj)
	Prints the adjacency relation in a friendly way. More...
template<class D >
AdjacencyIterator	begin (const Adjacency &adj, const Vector< D > &vct, size_t pixel_index)
	returns an iterator to first valid adjacent element. More...
template<class D >
AdjacencyIterator	end (const Adjacency &adj, const Vector< D > &vct, size_t pixel_index)
	Returns an iterator to position after the end of elements. More...
template<class D >
AdjacencyIterator	begin (const Adjacency &adj, const Matrix< D > &mtx, size_t pixel_index)
	returns an iterator to first valid adjacent element. More...
template<class D >
AdjacencyIterator	end (const Adjacency &adj, const Matrix< D > &mtx, size_t pixel_index)
	Returns an iterator to position after the end of elements. More...
template<class D >
AdjacencyIterator	begin (const Adjacency &adj, const Image< D > &img, size_t pixel_index)
	returns an iterator to first valid adjacent element. More...
template<class D >
AdjacencyIterator	end (const Adjacency &adj, const Image< D > &img, size_t pixel_index)
	Returns an iterator to position after the end of elements. More...
template<class D , size_t S>
bool	operator== (const Array< D, S > &lhs, const Array< D, S > &rhs)
	Operators. More...
template<class D , size_t S>
bool	operator!= (const Array< D, S > &lhs, const Array< D, S > &rhs)
template<class D , size_t S>
bool	operator< (const Array< D, S > &lhs, const Array< D, S > &rhs)
template<class D , size_t S>
bool	operator<= (const Array< D, S > &lhs, const Array< D, S > &rhs)
template<class D , size_t S>
bool	operator> (const Array< D, S > &lhs, const Array< D, S > &rhs)
template<class D , size_t S>
bool	operator>= (const Array< D, S > &lhs, const Array< D, S > &rhs)
template<class D , size_t S>
void	swap (Array< D, S > &x, Array< D, S > &y)
template<size_t I, class D , size_t S>
D &	get (Array< D, S > &arr) noexcept
	Returns a reference to I'th element of the array. More...
template<size_t I, class D , size_t S>
D &&	get (Array< D, S > &&arr) noexcept
template<size_t I, class D , size_t S>
const D &	get (const Array< D, S > &arr) noexcept
template<class D , size_t S, class O >
O &	operator<< (O &os, const Array< D, S > &vec)
Color	operator+ (const Color &clr1, const Color &clr2)
	Computes the sum of the colors and returns the result. More...
Color &	operator+= (Color &clr1, const Color &clr2)
	Computes the sum of the colors, assigns the result to clr1, and returns the result. More...
Color	operator- (const Color &clr1, const Color &clr2)
	Computes the difference of the colors and returns the result. More...
Color &	operator-= (Color &clr1, const Color &clr2)
	Computes the difference between input colors, assigns the result to clr1, and returns the result. More...
Color	operator* (const Color &clr1, const Color &clr2)
	Computes the product of the colors and returns the result. More...
Color &	operator*= (Color &clr1, const Color &clr2)
	Computes the product between input colors, assigns the result to clr1, and returns the result. More...
Color	operator/ (const Color &clr1, const Color &clr2)
	Computes the quotient of the colors and returns the result. More...
Color &	operator/= (Color &clr1, const Color &clr2)
	Computes the quotient between input colors, assigns the result to clr1, and returns the result. More...
bool	operator== (const Color &clr1, const Color &clr2)
	Compares two colors and returns true if they are equal. More...
bool	operator!= (const Color &clr1, const Color &clr2)
	Compares two colors and returns true if they are different. More...
Color	operator+ (const Color &clr, double scalar)
	Computes the sum of the scalar to input color channel values and returns the result. More...
Color	operator+ (double scalar, const Color &clr)
Color &	operator+= (Color &clr, double scalar)
	Computes the sum of the scalar to input color channel values and assigns the result to clr. More...
Color	operator- (const Color &clr, double scalar)
	Computes the differente between scalar and input color channel values and returns the result. More...
Color	operator- (double scalar, const Color &clr)
Color &	operator-= (Color &clr, double scalar)
	Computes the difference between the scalar and input color channel values and assigns the result to clr. More...
Color	operator* (const Color &clr, double scalar)
	Computes the product of the scalar and input color channel values and returns the result. More...
Color	operator* (double scalar, const Color &clr)
Color &	operator*= (Color &clr, double scalar)
	Computes the product of the scalar and input color channel values and assigns the result to clr. More...
Color	operator/ (const Color &clr, double scalar)
	Computes the quotient between the scalar and the input color channel values and returns the result. More...
Color	operator/ (double scalar, const Color &clr)
Color &	operator/= (Color &clr, double scalar)
	Computes the quotient between the scalar and the input color channel values and assigns the result to clr. More...
template<class O >
O &	operator<< (O &os, const Color &clr)
	Prints the color in a friendly way. More...
template<class D >
Feature< D >	ColorFeature (const Image< Color > &src, const Adjacency &adj)
	Assings the values from the neighborhoods of each pixel from image src to a feature vector. More...
template<class D >
void	ColorFeatureThread (const Image< Color > &src, const Adjacency &adj_rel, Feature< D > &res, size_t thread, size_t total_threads)
	Multi-thread implementation of ColorFeature. More...
template<class D >
Feature< D >	ColorMedianFeature (const Image< Color > &src, const Adjacency &adj_rel, float proportion=0.6)
	Assings a median values from the neighborhoods of each pixel from image src to a feature vector. More...
template<class D >
Feature< D >	ColorMedianFeature (const Image< Color > &src, const Image< D > &msk, const Adjacency &adj_rel, float proportion=0.6)
	Assings a median values from the neighborhoods of each pixel from image src, restricted by a mask msk to a feature vector. More...
template<class D >
void	ColorMedianFeatureThread (const Image< Color > &src, const Adjacency &adj_rel, Feature< D > &res, size_t thread, size_t total_threads)
	Multi-thread implementation of ColorMedianFeature. More...
bool	Equals (float value, float other, float factor)
	Useful function to compare floating point numbers. More...
bool	Equals (double value, double other, double factor)
float	Radians (float angle)
	Useful function to convert degrees ro radians. More...
double	Radians (double angle)
float	Degrees (float rad)
	Useful function to convert radians to degrees. More...
double	Degrees (double rad)
FILE *	Bial_popen (const char *command, const char *type)
	Same as popen for Linux and Apple, and _popen for Windows. More...
int	Bial_pclose (FILE *stream)
	Same as pclose for Linux and Apple, and _pclose for Windows. More...
std::string	DirectoryExistsCommand (const std::string &dirname)
	Generates a command for terminal to check if directory exists. More...
std::string	FileDirectoryListCommand (const std::string &dirname)
	Generates a command for terminal to list files and directories in given directory. More...
std::string	DirectoryListCommand (const std::string &dirname)
	Generates a command for terminal to list subdirectories in given directory. More...
std::string	FileListCommand (const std::string &dirname)
	Generates a command for terminal to list files in given directory. More...
std::string	FileListCommand (const std::string &dirname, const std::string &extension)
	Generates a command for terminal to list files in given directory with a given extension. More...
std::string	MakeDirCommand (const std::string &dirname)
	Generates a command for terminal to create a directory. More...
template<class D >
Image< D >	Correlation (const Image< D > &img, const Kernel &krn)
	Returns an image with correlation between img and krn. More...
template<class D >
void	CorrelationThreads (const Image< D > &img, const Kernel &krn, Image< D > &res, size_t thread, size_t total_threads)
	Multithread implementation of correlation. More...
template<class O >
O &	operator<< (O &os, const Box &obj)
	Prints object features into the output stream. More...
template<class O >
O &	operator<< (O &os, const Circle &obj)
	Prints object features into the output stream. More...
Vector< float >	Intersection (const Sequence &sequence, const Line &line)
	Locates the first point where the line and the sequence intersect. More...
Vector< float >	Intersection (const Line &line1, const Line &line2)
	Computes and returns the coordinates where lines intersect each other. More...
template<class O >
O &	operator<< (O &os, const Line &obj)
	Prints object features into the output stream. More...
template<class O >
O &	operator<< (O &os, const Point &obj)
	Prints object features into the output stream. More...
template<class O >
O &	operator<< (O &os, const Sequence &obj)
	Prints object features into the output stream. More...
template<class D >
void	SVGDGraph (const Image< D > &vertex, const Adjacency &adj, const std::string &filename)
	Writes the directed graph in SVG format into a file. More...
template<class D >
void	SVGDGraph (const Image< D > &vertex, const Vector< bool > &seed, const Adjacency &adj, const std::string &filename)
	Writes the directed graph in SVG format into a file. More...
template<class D >
void	SVGDGraph (const Image< D > &vertex, const Vector< bool > &seed, const Image< int > &label, const Adjacency &adj, const std::string &filename)
	Writes the directed graph in SVG format into a file. More...
template<class D >
void	SVGDForest (const Image< D > &cost, const Image< int > &pred, const Image< int > &label, const std::string &filename)
	Writes the directed graph in SVG format into a file. More...
template<class D , class O >
O &	operator<< (O &os, const Feature< D > &ftr)
template<class D >
static void	WriteBMP (const Image< D > &img, const std::string &filename)
	Open a BMP file to write 'this' content. More...
template<class D >
void	WriteBMP (const Image< D > &img, const std::string &filename)
	Open a BMP file to write 'this' content. More...
template<>
void	WriteBMP (const Image< Color > &img, const std::string &filename)
template<class D >
static Image< D >	ReadDicom (const std::string &filename)
	Open a Dicom file for reading and returns it. More...
template<class D >
Image< D >	ReadDicom (const std::string &filename)
	Open a Dicom file for reading and returns it. More...
template<>
Image< Color >	ReadDicom (const std::string &filename)
	Open a Dicom file for reading and returns it. More...
static bool	Supported (const std::string &filename)
	Returns true for supported images. Return false for folders. More...
template<class D >
static Image< D >	Read (const std::string &filename)
	Read an image from an input file and returns it. More...
template<class D >
static Vector< Image< D > >	ReadDir (const std::string &dirname)
	Reads all supported images contained in the directory and return them in a vector of images. More...
template<class D >
static void	Write (const Image< D > &img, const std::string &filename)
	Write the input image to a file with given name. More...
template<class D >
static void	Write (const Image< D > &img, const std::string &filename, const std::string &headername)
	Write the input image to a file with given name. Also, includes the header read from given header name. More...
template<class D >
Vector< Image< D > >	ReadDir (const std::string &dirname)
	Reads all supported images contained in the directory and return them in a vector of images. More...
template<class D >
Image< D >	Read (const std::string &filename)
	Reads data from file and initializes a Feature vector with it. More...
template<>
Image< Color >	Read (const std::string &filename)
	Reads data from file and initializes a Feature vector with it. More...
template<class D >
void	Write (const Image< D > &img, const std::string &filename)
	Write the input image to a file with given name. More...
template<>
void	Write (const Image< Color > &img, const std::string &filename)
template<class D >
void	Write (const Image< D > &img, const std::string &filename, const std::string &headername)
	Write the input image to a file with given name. Also, includes the header read from given header name. More...
template<>
void	Write (const Image< Color > &img, const std::string &filename, const std::string &headername)
template<class D >
static Matrix< D >	ReadMatrix (const std::string &filename)
	Reads matrix from file. More...
template<class D >
static void	Write (const Matrix< D > &mtx, const std::string &filename)
	Writes matrix into file. More...
template<class D >
static void	WriteMatrix (const Matrix< D > &mtx, const std::string &filename)
	Writes matrix into file. More...
template<class D >
Matrix< D >	ReadMatrix (const std::string &filename)
	Reads matrix from file. More...
template<class D >
void	WriteMatrix (const Matrix< D > &mtx, const std::string &filename)
	Writes matrix into file. More...
template<class D >
void	Write (const Matrix< D > &mtx, const std::string &filename)
	Writes matrix into file. More...
template<class D >
static Image< D >	ReadNifti (const std::string &filename)
	Open a Nifti file for reading and store its content in 'this'. More...
template<class D >
static void	WriteNifti (const Image< D > &img, const std::string &filename, const NiftiHeader &hdr)
	Open a Nifti file to write the content from 'this'. More...
template<>
Image< Color >	ReadNifti (const std::string &filename)
	Open a Nifti file for reading and store its content in 'this'. More...
template<class D >
Image< D >	ReadNifti (const std::string &filename)
	Open a Nifti file for reading and store its content in 'this'. More...
template<class D >
void	WriteNifti (const Image< D > &img, const std::string &filename, const NiftiHeader &hdr)
	Open a Nifti file to write the content from 'this'. More...
template<>
void	WriteNifti (const Image< Color > &img, const std::string &filename, const NiftiHeader &hdr)
template<class D >
static Image< D >	ReadPBM (const std::string &filename)
	Reads a PBM file and returns its contents. More...
template<class D >
static Image< D >	ReadPGM (const std::string &filename)
	Reads a PGM file and returns its contents. More...
template<class D >
static Image< D >	ReadPPM (const std::string &filename)
	Reads a PPM file and returns its contents. More...
template<class D >
static Image< D >	ReadPNM (const std::string &filename)
	Reads a PNM file and returns its contents. More...
template<class D >
static void	WritePBM (const Image< D > &img, const std::string &filename, const PNMHeader &hdr=PNMHeader(), const bool binary=true)
	Open a PBM file to write 'this' content. More...
template<class D >
static void	WritePGM (const Image< D > &img, const std::string &filename, const PNMHeader &hdr=PNMHeader(), const bool binary=false)
	Open a PGM file to write 'this' content. More...
template<class D >
static void	WritePPM (const Image< D > &img, const std::string &filename, const PNMHeader &hdr=PNMHeader(), const bool binary=true)
	Open a PPM file to write 'this' content. More...
template<class D >
static void	WritePNM (const Image< D > &img, const std::string &filename, const PNMHeader &hdr=PNMHeader(), const bool binary=true)
	Open a PNM file to write 'this' content. More...
template<class D >
Image< D >	ReadPBM (const std::string &filename)
	Reads a PBM file and returns its contents. More...
template<>
Image< Color >	ReadPBM (const std::string &filename)
	Reads a PBM file and returns its contents. More...
template<class D >
Image< D >	ReadPGM (const std::string &filename)
	Reads a PGM file and returns its contents. More...
template<>
Image< Color >	ReadPGM (const std::string &filename)
	Reads a PGM file and returns its contents. More...
template<class D >
Image< D >	ReadPPM (const std::string &filename)
	Reads a PPM file and returns its contents. More...
template<>
Image< Color >	ReadPPM (const std::string &filename)
	Reads a PPM file and returns its contents. More...
template<class D >
Image< D >	ReadPNM (const std::string &filename)
	Reads a PNM file and returns its contents. More...
template<>
Image< Color >	ReadPNM (const std::string &filename)
	Reads a PNM file and returns its contents. More...
template<class D >
void	WritePBM (const Image< D > &img, const std::string &filename, const PNMHeader &, const bool binary)
	Open a PBM file to write 'this' content. More...
template<>
void	WritePBM (const Image< Color > &img, const std::string &filename, const PNMHeader &hdr, const bool binary)
template<class D >
void	WritePGM (const Image< D > &img, const std::string &filename, const PNMHeader &, const bool binary)
	Open a PGM file to write 'this' content. More...
template<>
void	WritePGM (const Image< Color > &img, const std::string &filename, const PNMHeader &hdr, const bool binary)
template<class D >
void	WritePPM (const Image< D > &img, const std::string &filename, const PNMHeader &hdr, const bool binary)
	Open a PPM file to write 'this' content. More...
template<>
void	WritePPM (const Image< Color > &img, const std::string &filename, const PNMHeader &, const bool binary)
template<class D >
void	WritePNM (const Image< D > &img, const std::string &filename, const PNMHeader &hdr, const bool binary)
	Open a PNM file to write 'this' content. More...
template<>
void	WritePNM (const Image< Color > &img, const std::string &filename, const PNMHeader &hdr, const bool binary)
template<class D >
static Image< D >	ReadScene (const std::string &filename)
	Open a Scene file for reading and returns it. More...
template<class D >
static void	WriteScene (const Image< D > &img, const std::string &filename)
	Open a Scene file to write 'this' content. More...
template<class D >
Image< D >	ReadScene (const std::string &filename)
	Open a Scene file for reading and returns it. More...
template<>
Image< Color >	ReadScene (const std::string &filename)
	Open a Scene file for reading and returns it. More...
template<class D >
void	WriteScene (const Image< D > &img, const std::string &filename)
	Open a Scene file to write 'this' content. More...
template<>
void	WriteScene (const Image< Color > &img, const std::string &filename)
void	Write (const Signal &sgn, const std::string &filename)
	Writes signal containts file. It writes a pair composed by frequency and value per line. More...
double	Lerp (double t, double v1, double v2)
	Simple linear interpolation. More...
Vector3D	operator* (double s, const Vector3D &vec)
Point3D	operator* (double s, const Point3D &p)
Normal	operator* (double s, const Normal &norm)
double	Dot (const Vector3D &v1, const Vector3D &v2)
double	Dot (const Normal &n1, const Normal &n2)
double	Dot (const Normal &n1, const Vector3D &v2)
double	Dot (const Vector3D &v1, const Normal &n2)
double	AbsDot (const Vector3D &v1, const Vector3D &v2)
double	AbsDot (const Normal &n1, const Normal &n2)
double	AbsDot (const Normal &n1, const Vector3D &v2)
double	AbsDot (const Vector3D &v1, const Normal &n2)
Vector3D	Cross (const Vector3D &v1, const Vector3D &v2)
void	CoordinateSystem (const Vector3D &v1, Vector3D *v2, Vector3D *v3)
double	Distance (const Point3D &p1, const Point3D &p2)
double	DistanceSquared (const Point3D &p1, const Point3D &p2)
Normal	FaceForward (const Normal &n, const Vector3D &v)
template<class O >
O &	operator<< (O &os, const Vector3D &vec)
template<class O >
O &	operator<< (O &os, const Point3D &pt)
template<class O >
O &	operator<< (O &os, const Normal &norm)
template<class O >
O &	operator<< (O &os, const Ray &ray)
template<class O >
O &	operator<< (O &os, const BBox &box)
template<class O >
O &	operator<< (O &os, const Transform3D &tr)
template<class D , class O >
O &	operator<< (O &os, const Image< D > &img)
	Prints the image in a friendly way. More...
template<class D >
Image< D >	operator+ (const Image< D > &img1, const Image< D > &img2)
	Computes the sum of the images and returns the result. More...
template<class D >
Image< D > &	operator+= (Image< D > &img1, const Image< D > &img2)
	Computes the sum of the images, assigns the result to img1, and returns the result. More...
template<class D >
Image< D >	operator- (const Image< D > &img1, const Image< D > &img2)
	Computes the difference of the images and returns the result. More...
template<class D >
Image< D > &	operator-= (Image< D > &img1, const Image< D > &img2)
	Computes the difference between input images, assigns the result to img1, and returns the result. More...
template<class D >
Image< D >	operator* (const Image< D > &img1, const Image< D > &img2)
	Computes the product of the images and returns the result. More...
template<class D >
Image< D > &	operator*= (Image< D > &img1, const Image< D > &img2)
	Computes the product between input images, assigns the result to img1, and returns the result. More...
template<class D >
Image< D >	operator/ (const Image< D > &img1, const Image< D > &img2)
	Computes the quotient of the images and returns the result. More...
template<class D >
Image< D > &	operator/= (Image< D > &img1, const Image< D > &img2)
	Computes the quotient between input images, assigns the result to img1, and returns the result. More...
template<class D >
Image< D >	operator+ (const Image< D > &img, double scalar)
	Computes the sum of the scalar to input image pixel values and returns the result. More...
template<class D >
Image< D >	operator+ (double scalar, const Image< D > &img)
template<class D >
Image< D > &	operator+= (Image< D > &img, double scalar)
	Computes the sum of the scalar to input image pixel values and assigns the result to img. More...
template<class D >
Image< D >	operator- (const Image< D > &img, double scalar)
	Computes the differente between scalar and input image pixel values and returns the result. More...
template<class D >
Image< D >	operator- (double scalar, const Image< D > &img)
template<class D >
Image< D > &	operator-= (Image< D > &img, double scalar)
	Computes the difference between the scalar and input image pixel values and assigns the result to img. More...
template<class D >
Image< D >	operator* (const Image< D > &img, double scalar)
	Computes the product of the scalar and input image pixel values and returns the result. More...
template<class D >
Image< D >	operator* (double scalar, const Image< D > &img)
template<class D >
Image< D > &	operator*= (Image< D > &img, double scalar)
	Computes the product of the scalar and input image pixel values and assigns the result to img. More...
template<class D >
Image< D >	operator/ (const Image< D > &img, double scalar)
	Computes the quotient between the scalar and the input image pixel values and returns the result. More...
template<class D >
Image< D >	operator/ (double scalar, const Image< D > &img)
template<class D >
Image< D > &	operator/= (Image< D > &img, double scalar)
	Computes the quotient between the scalar and the input image pixel values and assigns the result to img. More...
template<class D >
Image< D >	Abs (const Image< D > &img)
	Computes the absolute value of image pixel values as return an image with the result. More...
template<class O >
O &	operator<< (O &os, const Kernel &knl)
template<class D , class O >
O &	operator<< (O &os, const Matrix< D > &mat)
	Prints the matrix in a friendly way. More...
template<class D >
Feature< D >	MedianFeature (const Matrix< D > &src, const Adjacency &adj, float proportion=0.6)
	Assings a median values from the neighborhoods of each pixel from matrix src to a feature vector. More...
template<class D >
Feature< D >	MedianFeature (const Matrix< D > &src, const Matrix< D > &msk, const Adjacency &adj, float proportion=0.6)
	Assings a median values from the neighborhoods of each pixel from matrix src, restricted by a mask msk to a feature vector. More...
template<class D >
void	MedianFeatureThread (const Matrix< D > &src, const Adjacency &adj_rel, Feature< D > &res, size_t thread, size_t total_threads)
	Multi-thread implementation of MedianFeature. More...
template<class D >
Feature< D >	MedianFeature (const Image< D > &src, const Adjacency &adj, float proportion=0.6)
	Assings a median values from the neighborhoods of each pixel from image src to a feature vector. More...
template<class D >
Feature< D >	MedianFeature (const Image< D > &src, const Image< D > &msk, const Adjacency &adj, float proportion=0.6)
	Assings a median values from the neighborhoods of each pixel from image src, restricted by a mask msk to a feature vector. More...
template<class O >
O &	operator<< (O &os, const NiftiHeader &hdr)
	Prints the header in a friendly way. More...
template<class O >
O &	operator<< (O &os, NiftiHeader &hdr)
RealColor	operator+ (const RealColor &clr1, const RealColor &clr2)
	Computes the sum of the colors and returns the result. More...
RealColor &	operator+= (RealColor &clr1, const RealColor &clr2)
	Computes the sum of the colors, assigns the result to clr1, and returns the result. More...
RealColor	operator- (const RealColor &clr1, const RealColor &clr2)
	Computes the difference of the colors and returns the result. More...
RealColor &	operator-= (RealColor &clr1, const RealColor &clr2)
	Computes the difference between input colors, assigns the result to clr1, and returns the result. More...
RealColor	operator* (const RealColor &clr1, const RealColor &clr2)
	Computes the product of the colors and returns the result. More...
RealColor &	operator*= (RealColor &clr1, const RealColor &clr2)
	Computes the product between input colors, assigns the result to clr1, and returns the result. More...
RealColor	operator/ (const RealColor &clr1, const RealColor &clr2)
	Computes the quotient of the colors and returns the result. More...
RealColor &	operator/= (RealColor &clr1, const RealColor &clr2)
	Computes the quotient between input colors, assigns the result to clr1, and returns the result. More...
bool	operator== (const RealColor &clr1, const RealColor &clr2)
	Compares two colors and returns true if they are equal. More...
bool	operator!= (const RealColor &clr1, const RealColor &clr2)
	Compares two colors and returns true if they are different. More...
RealColor	operator+ (const RealColor &clr, double scalar)
	Computes the sum of the scalar to input color channel values and returns the result. More...
RealColor	operator+ (double scalar, const RealColor &clr)
RealColor &	operator+= (RealColor &clr, double scalar)
	Computes the sum of the scalar to input color channel values and assigns the result to clr. More...
RealColor	operator- (const RealColor &clr, double scalar)
	Computes the differente between scalar and input color channel values and returns the result. More...
RealColor	operator- (double scalar, const RealColor &clr)
RealColor &	operator-= (RealColor &clr, double scalar)
	Computes the difference between the scalar and input color channel values and assigns the result to clr. More...
RealColor	operator* (const RealColor &clr, double scalar)
	Computes the product of the scalar and input color channel values and returns the result. More...
RealColor	operator* (double scalar, const RealColor &clr)
RealColor &	operator*= (RealColor &clr, double scalar)
	Computes the product of the scalar and input color channel values and assigns the result to clr. More...
RealColor	operator/ (const RealColor &clr, double scalar)
	Computes the quotient between the scalar and the input color channel values and returns the result. More...
RealColor	operator/ (double scalar, const RealColor &clr)
RealColor &	operator/= (RealColor &clr, double scalar)
	Computes the quotient between the scalar and the input color channel values and assigns the result to clr. More...
template<class O >
O &	operator<< (O &os, const RealColor &clr)
	Prints the color in a friendly way. More...
template<class O >
O &	operator<< (O &os, const Signal &sig)
template<class D >
Feature< D >	SpatialFeature (const Matrix< D > &src)
	Features are the coordinates of non-zero samples in src matrix. More...
template<class D >
Feature< D >	SpatialFeature (const Image< D > &src)
	Features are the coordinates of non-zero samples in src image. More...
template<class O >
O &	operator<< (O &os, const Table &tbl)
template<class D >
bool	operator== (const Vector< D > &lhs, const Vector< D > &rhs)
	Operators. More...
template<class D >
bool	operator!= (const Vector< D > &lhs, const Vector< D > &rhs)
template<class D >
bool	operator< (const Vector< D > &lhs, const Vector< D > &rhs)
template<class D >
bool	operator<= (const Vector< D > &lhs, const Vector< D > &rhs)
template<class D >
bool	operator> (const Vector< D > &lhs, const Vector< D > &rhs)
template<class D >
bool	operator>= (const Vector< D > &lhs, const Vector< D > &rhs)
template<class D >
void	swap (Vector< D > &x, Vector< D > &y)
template<class D , class O >
O &	operator<< (O &os, const Vector< D > &vec)

Variables
int	verbose
	Determines the COMMENT macro verbosity. More...
const double	Pi = std::atan( 1.0 ) * 4.0

Detailed Description

Adjacency relation with indexes following gray code sequency.
Future add-on's: none.

Inverse Euclidean distance transform.

Euclidean Distance Transform.

Table class. 2 dimensional table handeling. When acessed by (x, y) operator, index x corresponds to the index of the column, and index y corresponds to the index of the row. This standard comes from text printing order and image display and storage in most of the computer systems.

BIAL_Superpixel class. Functions to call SLIC superpixel routines.

Sum path function to compute the initial path-values and propagated path-values in IFT algorithm. Used by live-wire.

Intensity standard deviation.

Basic true and false positive and negative metrics.

Observed agreement metric.

Median absolute deviation computation.

Kappa metric.

Jaccard metric.

Dice metric.

Baddeley metric.

Average image intensity.

Feature vector composed by the coordinates of valid the matrix/image elements/pixels. Valid elements/pixels have non-zero value/intensity.

Sorting algorithm that outputs the order of the original indexes after sorting.

binary search in sorted vector.

Computes otsu threshold of signals signal.

Signal normalization.

Computes median filter over the signal.

Functions to locate key points in signal such as peaks, acclivities, plateaus, etc.

Functions to compute signal hysteresis.

Signal equalization functions.

Functions to deal with empty bins in a signal. Useful to locate key points.

Computes the accumulated signal.

Signal handeling.

: Segmentation with watershed algorithm.

: Segmentation of 3D surface.

: Segmentation of a 2D image in quadrants.

: Segmentation by Otsu thresholding.

: Segmentation of 3D image into octants.

: Segmentation with minimum spanning tree.

: Segmentation by intensity thresholding.

: Segmentation by intensity hysteresis.

: Segmentation with oriented geodesic star algorithm. Combines geodesic distance and sum of arcs with orientation.

Find the connected components and select some among them.

: Segmentation of object border.

: Image background segmentation. Segments a large piece of dark pixels in the background.

Functions to sample uniformly from feature vector.

Random sampling elements from feature vector.

Methods for sampling elements.

Colorspace convertion methods. For real value color spaces.

Plotting algorithms. Plots in GnuPlot format.

Class for interpolation of pixels.

Path function to compute the initial path-values and propagated path-values in IFT algorithm.

Oriented intern Path function to compute the initial path-values and propagated path-values in IFT algorithm. Function for image segmentation with geodesic star distance. Result is normaly based on label map.

Oriented external path function to compute the initial path-values and propagated path-values in IFT algorithm. Function for image segmentation with geodesic star distance. Result is normaly based on label map.

OPF spectral clustering algorithms.

OPF spatial clustering algorithms.

OPF hierarchical clustering algorithms. NOT WORKING YET.

OPF cluster matching verification algorithms.

class used to discriminate MRI modality.

Morphological erosion over images.

Morphological dilation over images.

Min Path function to compute the initial path-values and propagated path-values in IFT algorithm. Function for segmentation. This implements OPF transforms.

Feature vector extracted from image. Gets the median intensity pixels around each valid pixel. A feature vector is generated from each valid pixel.

Max sum path function to compute the initial path-values and propagated path-values in IFT algorithm. This function is has a mixed behavior of maximum and sum path functions. It may adopt a direction.

Max Path function to compute the initial path-values and propagated path-values in IFT algorithm. Functions used by Watershed transform.

Compute the matrix transpose.

Functions to compute polar matrix.

Functions to compute matrix inverse.

Set matrix to identity or computer distance from identity.

Compute matrix determinant.

N dimensional matrix handeling. When acessed by (x, y), or (x, y, z) operator, index x corresponds to the index of the column, and index y corresponds to the index of the row. This standard comes from text printing order and image display and storage in most of the computer systems.

Local Max Path function to compute the initial path-values and propagated path-values in IFT algorithm. Used by River Bed algorithm.

Sobel kernel generator.

Round kernel generator.

Kernel iterator class.

Gaussian kernel generator.

Gabor kernel generator.

Box kernel generator.

Kernel class.

Functions to compute intensity local minima or maxima.

Image intensity manipulation functions.

Integral image construction and properties.

Image swap dimensions.

Image splitting.

Image region of interest. Minimal sub image coordinates without zero frame.

Operations to get sub-matrix.

Image merging.

Image interpolation using interpolation functions.

IFT algorithm running on Images.

Image add/remove frame.

Algorithms to check if tow images have the same dimensions and containts.

Image class declaration. Handles 2D and 3D images.

Hough transform for circles.

Creating histograms from data.

Hierarchical path function to compute the initial path-values and propagated path-values in IFT algorithm. Function used by optimum path forest clustering and classification for hierarchical implementation. Result is normaly in label map. NOT READY. DO NOT USE.

Heart segmentation functions.

Heart center of gravity estimation.

Abstract class to define graph adjacencies.

Computes sobel gradient.

Computes multiscale Canny gradient.

Operations to be executed after defining the gradient.

Computes morphological gradient, that is, open - close.

Computes Gabor gradient.

Computes directional gradient. This gradient is the contribution of the intensity differences from all adjacents.

Computes Canny gradient.

Geodesic restriction sum path function to compute the initial path-values and propagated path-values in IFT algorithm. This function is used to compute predecessor map for Geodesic Star Functions.

Image translation. Direct translation or corresponding affine transform.

Image shear. Direct shear or corresponding affine transform.

Image scaling. Direct scaling or corresponding affine transform.

Image rotation. Direct retation around coordinate system origin or corresponding affine transform.

Affine transformation.

Geometric transforms for 3D visualization and printing.

Geodesic distance path function to compute the initial path-values and propagated path-values in IFT algorithm. Used to compute the distance from a set of pixels to the rest of the image.

Image filtering methods.

Median filter.

Mean filter.

Gaussian filter.

Anisotropic diffusion filtering to remove high-frequency noise.

Functions to write signal into file.

Reading and writing scene type images.

Reading and writing from PNM, PBM, PGM, and PNM files.

Reading and writing support for Nifti files.

Reading and writing matrices.

Functions to read and write generic files and multiple files from directory.

Functions for Feature I/O.

Reading dicom files.

Writing to BMP gray images.

Functions to merge feature vectors.

Feature distance path function to compute the initial path-values and propagated path-values in IFT algorithm. Function for classification of classifiers results. Result is both in value (probabilities) and label maps.

Feature vector class. It is essentialy a matrix where, the first dimention refers to the feature and the other dimension to the element. Example: Using constructor Feature( 4, 4 ) the vector will be allocated as follows: f_0_0, f_0_1, f_0_2, f_0_3, f_1_0, f_1_1, ..., where f_i_j is the feature i of sample j.

Edge detection with Riverbed algorithm.

Edge Max Path function to compute the initial path-values and propagated path-values in IFT algorithm. Function used by optimum path foresting clustering and classification. Result is normaly in label map.

Edge detection with Livewire algorithm.

Edge detection with LazyWalk algorithm.

Functions to draw graphs in SVG file format.

Functions to draw forms in images.

Functions to draw points in images.

Functions to draw lines in images.

Functions to find intersection between forms.

'Virtual' class to draw forms in images.

Functions to draw circles in images.

Diffusion functions to compute annisotropic filtering and other algorithms.

Diff path function to compute the initial path-values and propagated path-values in IFT algorithm. Used by live-wire.

Degenerated IFT algorithm. Used for segmentation by MST method.

Image correlation.

Connected components path function to compute the initial path-values and propagated path-values in IFT algorithm. Function to label connected components in image. Result comes normaly from label map.

The Bial namespace holds all library functions.

RGB color space convertion methods.

Generates a feature vector composed by red, green, and blue median colors in the adjacency of pixels as the features. A vector is generated for each valid pixel.

CIELab color space convertion methods.

HSI color space convertion methods.

Generates a feature vector composed by red, green, and blue colors as the features. A vector is generated for each valid pixel.

Operations over color channels.

Colorspace convertion methods. For integer colors.

IFT algorithm for clustering purposes.

B-Spline implementation.

Functions to segment brain tissues into GM/WM/CSF.

Functions to strip the skull from the brain image.

Class for computing brain histogram based intensities, such as peaks, valleys, mean, minimum, and maximum.

Functions to estimate and correct inhomogeneity.

Functions to find the COG of a brain image.

Bit wise opperations over integer numbers.

Computes the complement of a binary image restricted or not to a mask.

Adjacency relation with round format.
Future add-on's: none.

Adjacency relation for marching cubes algorithm.
Future add-on's: none.

Adjacency iterator class used as a forward iteratior for adjacency relation.
Future add-on's: none.

Date

2012/Jul/05

2012/Oct/18

2013/Aug/27

: 2014/Jan/07

2012/Sep/19 Content: ChessBoard distance function.

2012/Sep/19 Content: Distance function abstract class to compute the distance between array elements.

2012/Sep/08

: 2015/Oct/06

: 2013/Oct/29

2012/Jun/26

2012/Sep/19

2013/Jul/12

2012/Sep/19 Content: Distance function interface for generic algorithm implementation.

2014/Mar/14

2015/Apr/07

2012/Sep/19 Content: Euclidean distance function.

2013/Aug/08

Warning

Very basic support. Only writing to gray images yet.

Date

2013/Aug/08

Warning

Only a small set of dicom files may open correctly. Probably not even possible to implement all.

Date

2013/Aug/08

2012/Sep/11

2012/Sep/21

2012/Sep/26

2013/12/12

2012/Sep/26 Content: Hierarchical Graph for clustering.

2014/Apr/07

2015/Aug/21

2016/Sep/15

2012/Jun/21

2013/Nov/19

2012/Sep/26 Content: Knn graph adjacency.

2012/Sep/26 Content: LSH graph adjacency.

2014/Apr/16

2015/Jan/12

2012/Sep/19 Content: Euclidean distance function with square distances pre computed.

2012/Sep/27

2016/Jun/27

2013/Sep/04

2012/Dec/04

2015/Sep/22

2014/Jan/07

Enumeration Type Documentation

enum Bial::BucketState : char

strong

Enumerator
NOT_VISITED
INSERTED
UPDATED
REMOVED

Definition at line 28 of file BucketQueueElements.hpp.

enum Bial::DistanceFunctionType : char

strong

Enumerator
Euclidean
PreEuclidean
SquareEuclidean
CityBlock
ChessBoard

Definition at line 19 of file DFIDE.hpp.

enum Bial::MRIModality : char

strong

MRI modality.

Enumerator
UNKNOWN
T1
T2
PD

Definition at line 17 of file MRIModality.hpp.

enum Bial::MultiImageType : char

strong

The MultiImageType class is used to identify which image type is open in MultiImage.

Enumerator
none
int_img
flt_img
clr_img
rcl_img

Definition at line 23 of file MultiImage.hpp.

enum Bial::NiftiIntent : short

strong

NIFTI1_INTENT: nifti1 intent codes, to describe intended meaning of dataset contents.

Enumerator
NONE
CORREL
TTEST
FTEST
ZSCORE
CHISQ
BETA
BINOM
GAMMA
POISSON
NORMAL
FTEST_NONC
CHISQ_NONC
LOGISTIC
LAPLACE
UNIFORM
TTEST_NONC
WEIBULL
CHI
INVGAUSS
EXTVAL
PVAL
LOGPVAL
LOG10PVAL
FIRST_STAT
LAST_STAT
ESTIMATE
LABEL
NEURONAME
GENMATRIX
SYMMATRIX
DISPVECT
VECTOR
POINTSET
TRIANGLE
QUATERNION
DIMLESS
TIME_SERIES
NODE_INDEX
RGB_VECTOR
RGBA_VECTOR
SHAPE

Definition at line 54 of file NiftiHeader.hpp.

enum Bial::NiftiSlice : char

strong

NIFTI1_SLICE_ORDER: nifti1 slice order codes, describing the acquisition order of the slices.

Enumerator
UNKNOWN
SEQ_INC
SEQ_DEC
ALT_INC
ALT_DEC
ALT_INC2
ALT_DEC2

Definition at line 235 of file NiftiHeader.hpp.

enum Bial::NiftiType : short

strong

Enumerator
UINT8
INT16
INT32
FLOAT32
FLOAT64
INT8
UINT16
UINT32
INT64
UINT64

Definition at line 40 of file NiftiHeader.hpp.

enum Bial::NiftiUnit : char

strong

NIFTI1_UNITS: nifti1 units codes to describe the unit of measurement for each dimension of the dataset.

Enumerator
UNKNOWN
METER
MM
MICRON
SEC
MSEC
USEC
HZ
PPM
RADS

Definition at line 221 of file NiftiHeader.hpp.

enum Bial::NiftiXForm : short

strong

NIFTI1_XFORM_CODES: nifti1 xform codes to describe the "standard" x,y,z coordinate system.

Enumerator
UNKNOWN
SCANNER_ANAT
ALIGNED_ANAT
TALAIRACH
MNI_152

Definition at line 212 of file NiftiHeader.hpp.

enum Bial::TableCellType : char

strong

Enumerator
INT
FLT
STR

Definition at line 21 of file Table.hpp.

Function Documentation

template<class D >

Image< D > Bial::Abs

(

const Image< D > &

img

)

Computes the absolute value of image pixel values as return an image with the result.

Date

2013/Nov/06

Parameters

img	input image.

Returns

Image whose pixel values are the absolute value of the input image pixel values.

Warning

none.

template<class D >

AdjacencyIterator Bial::begin	(	const Adjacency &	adj,
		const Vector< D > &	vct,
		size_t	pixel_index
	)

returns an iterator to first valid adjacent element.

Date

2015/Jul/03

Parameters

adj	An adjacency relation.
vct	A vector with the dimensions of the image or matrix.
pixel_index	The pixel for which the adjacents must be looked to.

Returns

Iterator to first valid adjacent element.

Warning

none.

template<class D >

AdjacencyIterator Bial::begin	(	const Adjacency &	adj,
		const Matrix< D > &	mtx,
		size_t	pixel_index
	)

returns an iterator to first valid adjacent element.

Date

2012/Sep/24

Parameters

adj	An adjacency relation.
mtx	A matrix for data dimensions.
pixel_index	The pixel for which the adjacents must be looked to.

Returns

Iterator to first valid adjacent element.

Warning

none.

template<class D >

AdjacencyIterator Bial::begin	(	const Adjacency &	adj,
		const Image< D > &	img,
		size_t	pixel_index
	)

returns an iterator to first valid adjacent element.

Date

2014/Apr/14

Parameters

adj	An adjacency relation.
img	A matrix for data dimensions.
pixel_index	The pixel for which the adjacents must be looked to.

Returns

Iterator to first valid adjacent element.

Warning

none.

template<class D >

Feature< D > Bial::ColorFeature	(	const Image< Color > &	src,
		const Adjacency &	adj
	)

Assings the values from the neighborhoods of each pixel from image src to a feature vector.

Date

2014/May/01

Parameters

src	Input source image to extract features.
adj	Adjacency relation of each pixel.

Returns

A median feature vector.

Warning

none.

template<class D >

void Bial::ColorFeatureThread	(	const Image< Color > &	src,
		const Adjacency &	adj_rel,
		Feature< D > &	res,
		size_t	thread,
		size_t	total_threads
	)

Multi-thread implementation of ColorFeature.

Date

2014/May/01

Parameters

src	Input source image to extract features.
adj_rel	Adjacency relation of each pixel.
res	Resulting feature vector.
thread	Thread number.
total_threads	Number of threads.

Returns

none.

Warning

none.

template<class D >

Feature< D > Bial::ColorMedianFeature	(	const Image< Color > &	src,
		const Adjacency &	adj_rel,
		float	proportion = 0.6
	)

Assings a median values from the neighborhoods of each pixel from image src to a feature vector.

Date

2014/May/16

Parameters

src	Input source image to extract features.
adj_rel	Adjacency relation of each pixel.
proportion	Proportion of the pixels in adj to be taken. In ]0.0,1.0].

Returns

A median feature vector of all colors.

Warning

none.

template<class D >

Feature< D > Bial::ColorMedianFeature	(	const Image< Color > &	src,
		const Image< D > &	msk,
		const Adjacency &	adj_rel,
		float	proportion = 0.6
	)

Assings a median values from the neighborhoods of each pixel from image src, restricted by a mask msk to a feature vector.

Date

2014/May/16

Parameters

src	Input source image to extract features.
msk	Input mask image that restricts the extracting feature pixels.
adj_rel	Adjacency relation of each pixel.
proportion	Proportion of the pixels in adj to be taken. In ]0.0,1.0].

Returns

A median feature vector of all colors.

Warning

Image element p is not considered if msk[ p ] == 0.

template<class D >

void Bial::ColorMedianFeatureThread	(	const Image< Color > &	src,
		const Adjacency &	adj_rel,
		Feature< D > &	res,
		size_t	thread,
		size_t	total_threads
	)

Multi-thread implementation of ColorMedianFeature.

Date

2014/May/16

Parameters

src	Input source image to extract features.
adj_rel	Adjacency relation of each pixel.
res	Resulting feature vector.
thread	Thread number.
total_threads	Number of threads.

Returns

none.

Warning

none.

template<class D >

Image< D > Bial::Correlation	(	const Image< D > &	img,
		const Kernel &	krn
	)

Returns an image with correlation between img and krn.

Date

2013/Nov/21

Parameters

img	Input image.
krn	A kernel.

Returns

Image with correlation between img and krn.

Warning

none.

template<class D >

void Bial::CorrelationThreads	(	const Image< D > &	img,
		const Kernel &	krn,
		Image< D > &	res,
		size_t	thread,
		size_t	total_threads
	)

Multithread implementation of correlation.

Date

2013/Nov/26

Parameters

img	Input image.
krn	A kernel.
res	Resulting image.
thread	number of the thread.
total_threads	total number of threads.

Returns

none.

Warning

none.

template<class D >

AdjacencyIterator Bial::end	(	const Adjacency &	adj,
		const Vector< D > &	vct,
		size_t	pixel_index
	)

Returns an iterator to position after the end of elements.

Date

2015/Jul/03

Parameters

adj	An adjacency relation.
vct	A vector with the dimensions of the image or matrix.
pixel_index	The pixel for which the adjacents must be looked to.

Returns

Iterator to position after the end of elements.

Warning

none.

template<class D >

AdjacencyIterator Bial::end	(	const Adjacency &	adj,
		const Matrix< D > &	mtx,
		size_t	pixel_index
	)

Returns an iterator to position after the end of elements.

Date

2012/Sep/24

Parameters

adj	An adjacency relation.
mtx	A matrix for data dimensions.
pixel_index	The pixel for which the adjacents must be looked to.

Returns

Iterator to position after the end of elements.

Warning

none.

template<class D >

AdjacencyIterator Bial::end	(	const Adjacency &	adj,
		const Image< D > &	img,
		size_t	pixel_index
	)

Returns an iterator to position after the end of elements.

Date

2014/Apr/14

Parameters

adj	An adjacency relation.
img	A matrix for data dimensions.
pixel_index	The pixel for which the adjacents must be looked to.

Returns

Iterator to position after the end of elements.

Warning

none.

template<size_t I, class D , size_t S>

D & Bial::get ( Array< D, S > &  arr )

noexcept

Returns a reference to I'th element of the array.

Date

2015/Apr/22

Parameters

arr

an array.

Returns

Reference to I'th element of the array.

Warning

none.

Definition at line 1447 of file Array.hpp.

template<size_t I, class D , size_t S>

D && Bial::get ( Array< D, S > &&  arr )

noexcept

Definition at line 1452 of file Array.hpp.

template<size_t I, class D , size_t S>

const D & Bial::get ( const Array< D, S > &  arr )

noexcept

Definition at line 1457 of file Array.hpp.

Vector< float > Bial::Intersection	(	const Sequence &	sequence,
		const Line &	line
	)

Locates the first point where the line and the sequence intersect.

Date

2015/Jul/08

Parameters

sequence	A sequence.
line	Pixels of a line.

Returns

A vector with the coordinates of the first intersection with the line. Returns empty vector, if it they don't intersect.

Warning

none.

Vector< float > Bial::Intersection	(	const Line &	line1,
		const Line &	line2
	)

Computes and returns the coordinates where lines intersect each other.

Date

2015/Jul/08

Parameters

line1,line2

Lines to be checked for intersection.

Returns

A vector with the coordinates where the lines intersect each other. Returns empty vector if they are parallel.

Warning

none.

template<class D >

Feature< D > Bial::MedianFeature	(	const Matrix< D > &	src,
		const Adjacency &	adj,
		float	proportion = 0.6
	)

Assings a median values from the neighborhoods of each pixel from matrix src to a feature vector.

Date

2012/Jun/29

Parameters

src	Input source matrix to extract features.
adj	Adjacency relation of each pixel.
proportion	Proportion of the pixels in adj to be taken. In ]0.0,1.0].

Returns

A median feature vector.

Warning

none.

template<class D >

Feature< D > Bial::MedianFeature	(	const Matrix< D > &	src,
		const Matrix< D > &	msk,
		const Adjacency &	adj,
		float	proportion = 0.6
	)

Assings a median values from the neighborhoods of each pixel from matrix src, restricted by a mask msk to a feature vector.

Date

2012/Jun/29

Parameters

src	Input source matrix to extract features.
msk	Input mask matrix that restricts the extracting feature pixels.
adj	Adjacency relation of each pixel.
proportion	Proportion of the pixels in adj to be taken. In ]0.0,1.0].

Returns

A median feature vector.

Warning

Matrix element p is not considered if msk[ p ] == 0.

template<class D >

Feature< D > Bial::MedianFeature	(	const Image< D > &	src,
		const Adjacency &	adj,
		float	proportion = 0.6
	)

Assings a median values from the neighborhoods of each pixel from image src to a feature vector.

Date

2014/Apr/16

Parameters

src	Input source image to extract features.
adj	Adjacency relation of each pixel.
proportion	Proportion of the pixels in adj to be taken. In ]0.0,1.0].

Returns

A median feature vector.

Warning

none.

template<class D >

Feature< D > Bial::MedianFeature	(	const Image< D > &	src,
		const Image< D > &	msk,
		const Adjacency &	adj,
		float	proportion = 0.6
	)

Assings a median values from the neighborhoods of each pixel from image src, restricted by a mask msk to a feature vector.

Date

2014/Apr/16

Parameters

src	Input source image to extract features.
msk	Input mask image that restricts the extracting feature pixels.
adj	Adjacency relation of each pixel.
proportion	Proportion of the pixels in adj to be taken. In ]0.0,1.0].

Returns

A median feature vector.

Warning

Image element p is not considered if msk[ p ] == 0.

template<class D >

void Bial::MedianFeatureThread	(	const Matrix< D > &	src,
		const Adjacency &	adj_rel,
		Feature< D > &	res,
		size_t	thread,
		size_t	total_threads
	)

Multi-thread implementation of MedianFeature.

Date

2013/Nov/28

Parameters

src	Input source matrix to extract features.
adj_rel	Adjacency relation of each pixel.
res	Resulting feature vector.
thread	Thread number.
total_threads	Number of threads.

Returns

none.

Warning

none.

bool Bial::operator!=	(	const RealColor &	clr1,
		const RealColor &	clr2
	)

Compares two colors and returns true if they are different.

Date

2015/Oct/20

Parameters

other

Other color.

Returns

true if clr1 is different of clr2.

Warning

none.

bool Bial::operator!=	(	const Color &	clr1,
		const Color &	clr2
	)

Compares two colors and returns true if they are different.

Date

2015/Oct/06

Parameters

other

Other color.

Returns

true if clr1 is different of clr2.

Warning

none.

template<class D , size_t S>

bool Bial::operator!=	(	const Array< D, S > &	lhs,
		const Array< D, S > &	rhs
	)

Definition at line 1277 of file Array.hpp.

template<class D >

bool Bial::operator!=	(	const Vector< D > &	lhs,
		const Vector< D > &	rhs
	)

Definition at line 4004 of file Vector.hpp.

RealColor Bial::operator*	(	const RealColor &	clr1,
		const RealColor &	clr2
	)

Computes the product of the colors and returns the result.

Date

2015/Oct/06

Parameters

clr1,clr2

Input colors.

Returns

Product of the input colors element by element.

Warning

none.

Color Bial::operator*	(	const Color &	clr1,
		const Color &	clr2
	)

Computes the product of the colors and returns the result.

Date

2015/Oct/06

Parameters

clr1,clr2

Input colors.

Returns

Product of the input colors element by element.

Warning

none.

RealColor Bial::operator*	(	const RealColor &	clr,
		double	scalar
	)

Computes the product of the scalar and input color channel values and returns the result.

Date

2015/Oct/21

Parameters

scalar	a scalar.
clr	Input color.

Returns

Multiplies the scalar to input color channel values.

Warning

none.

RealColor Bial::operator*	(	double	scalar,
		const RealColor &	clr
	)

Color Bial::operator*	(	const Color &	clr,
		double	scalar
	)

Computes the product of the scalar and input color channel values and returns the result.

Date

2015/Oct/21

Parameters

scalar	a scalar.
clr	Input color.

Returns

Multiplies the scalar to input color channel values.

Warning

none.

Color Bial::operator*	(	double	scalar,
		const Color &	clr
	)

template<class D >

Image< D > Bial::operator*	(	const Image< D > &	img1,
		const Image< D > &	img2
	)

Computes the product of the images and returns the result.

Date

2012/Jul/02

Parameters

img1,img2

Input images.

Returns

Product of the input images element by element.

Warning

Images must have the same dimensions.

template<class D >

Image< D > Bial::operator*	(	const Image< D > &	img,
		double	scalar
	)

Computes the product of the scalar and input image pixel values and returns the result.

Date

2012/Jul/02

Parameters

scalar	a scalar.
img	Input image.

Returns

Multiplies the scalar to input image pixel values.

Warning

none.

template<class D >

Image< D > Bial::operator*	(	double	scalar,
		const Image< D > &	img
	)

RealColor& Bial::operator*=	(	RealColor &	clr1,
		const RealColor &	clr2
	)

Computes the product between input colors, assigns the result to clr1, and returns the result.

Date

2015/Oct/06

Parameters

other

Other color.

Returns

Reference to clr1.

Warning

none.

Color& Bial::operator*=	(	Color &	clr1,
		const Color &	clr2
	)

Computes the product between input colors, assigns the result to clr1, and returns the result.

Date

2015/Oct/06

Parameters

other

Other color.

Returns

Reference to clr1.

Warning

none.

RealColor& Bial::operator*=	(	RealColor &	clr,
		double	scalar
	)

Computes the product of the scalar and input color channel values and assigns the result to clr.

Date

2015/Oct/21

Parameters

scalar	a scalar.
clr	Input color.

Returns

Reference to clr.

Warning

none.

Color& Bial::operator*=	(	Color &	clr,
		double	scalar
	)

Computes the product of the scalar and input color channel values and assigns the result to clr.

Date

2015/Oct/21

Parameters

scalar	a scalar.
clr	Input color.

Returns

Reference to clr.

Warning

none.

template<class D >

Image< D >& Bial::operator*=	(	Image< D > &	img1,
		const Image< D > &	img2
	)

Computes the product between input images, assigns the result to img1, and returns the result.

Date

2012/Jul/02

Parameters

other

Other image.

Returns

Reference to img1.

Warning

Images must have the same dimensions.

template<class D >

Image< D >& Bial::operator*=	(	Image< D > &	img,
		double	scalar
	)

Computes the product of the scalar and input image pixel values and assigns the result to img.

Date

2012/Jul/02

Parameters

scalar	a scalar.
img	Input image.

Returns

Reference to img.

Warning

none.

RealColor Bial::operator+	(	const RealColor &	clr1,
		const RealColor &	clr2
	)

Computes the sum of the colors and returns the result.

Date

2015/Oct/06

Parameters

clr1,clr2

Input colors.

Returns

Sum the input colors element by element.

Warning

none.

Color Bial::operator+	(	const Color &	clr1,
		const Color &	clr2
	)

Computes the sum of the colors and returns the result.

Date

2015/Oct/06

Parameters

clr1,clr2

Input colors.

Returns

Sum the input colors element by element.

Warning

none.

RealColor Bial::operator+	(	const RealColor &	clr,
		double	scalar
	)

Computes the sum of the scalar to input color channel values and returns the result.

Date

2015/Oct/21

Parameters

scalar	a scalar.
clr	Input color.

Returns

Sums scalar to input color channel values.

Warning

none.

RealColor Bial::operator+	(	double	scalar,
		const RealColor &	clr
	)

Color Bial::operator+	(	const Color &	clr,
		double	scalar
	)

Computes the sum of the scalar to input color channel values and returns the result.

Date

2015/Oct/21

Parameters

scalar	a scalar.
clr	Input color.

Returns

Sums scalar to input color channel values.

Warning

none.

Color Bial::operator+	(	double	scalar,
		const Color &	clr
	)

template<class D >

Image< D > Bial::operator+	(	const Image< D > &	img1,
		const Image< D > &	img2
	)

Computes the sum of the images and returns the result.

Date

2012/Jul/02

Parameters

img1,img2

Input images.

Returns

Sum the input images element by element.

Warning

Images must have the same dimensions.

template<class D >

Image< D > Bial::operator+	(	const Image< D > &	img,
		double	scalar
	)

Computes the sum of the scalar to input image pixel values and returns the result.

Date

2012/Jul/02

Parameters

scalar	a scalar.
img	Input image.

Returns

Sums scalar to input image pixel values.

Warning

none.

template<class D >

Image< D > Bial::operator+	(	double	scalar,
		const Image< D > &	img
	)

RealColor& Bial::operator+=	(	RealColor &	clr1,
		const RealColor &	clr2
	)

Computes the sum of the colors, assigns the result to clr1, and returns the result.

Date

2015/Oct/06

Parameters

clr1,clr2

Input colors.

Returns

Reference to clr1.

Warning

none.

Color& Bial::operator+=	(	Color &	clr1,
		const Color &	clr2
	)

Computes the sum of the colors, assigns the result to clr1, and returns the result.

Date

2015/Oct/06

Parameters

clr1,clr2

Input colors.

Returns

Reference to clr1.

Warning

none.

RealColor& Bial::operator+=	(	RealColor &	clr,
		double	scalar
	)

Computes the sum of the scalar to input color channel values and assigns the result to clr.

Date

2015/Oct/21

Parameters

scalar	a scalar.
clr	Input color.

Returns

Reference to clr.

Warning

none.

Color& Bial::operator+=	(	Color &	clr,
		double	scalar
	)

Computes the sum of the scalar to input color channel values and assigns the result to clr.

Date

2015/Oct/21

Parameters

scalar	a scalar.
clr	Input color.

Returns

Reference to clr.

Warning

none.

template<class D >

Image< D >& Bial::operator+=	(	Image< D > &	img1,
		const Image< D > &	img2
	)

Computes the sum of the images, assigns the result to img1, and returns the result.

Date

2012/Jul/02

Parameters

img1,img2

Input images.

Returns

Reference to img1.

Warning

Images must have the same dimensions.

template<class D >

Image< D >& Bial::operator+=	(	Image< D > &	img,
		double	scalar
	)

Computes the sum of the scalar to input image pixel values and assigns the result to img.

Date

2012/Jul/02

Parameters

scalar	a scalar.
img	Input image.

Returns

Reference to img.

Warning

none.

RealColor Bial::operator-	(	const RealColor &	clr1,
		const RealColor &	clr2
	)

Computes the difference of the colors and returns the result.

Date

2015/Oct/06

Parameters

clr1,clr2

Input colors.

Returns

Difference of the input colors element by element.

Warning

none.

Color Bial::operator-	(	const Color &	clr1,
		const Color &	clr2
	)

Computes the difference of the colors and returns the result.

Date

2015/Oct/06

Parameters

clr1,clr2

Input colors.

Returns

Difference of the input colors element by element.

Warning

none.

RealColor Bial::operator-	(	const RealColor &	clr,
		double	scalar
	)

Computes the differente between scalar and input color channel values and returns the result.

Date

2015/Oct/21

Parameters

scalar	a scalar.
clr	Input color.

Returns

Subtracts scalar from input color channel values, or vice-versa.

Warning

none.

RealColor Bial::operator-	(	double	scalar,
		const RealColor &	clr
	)

Color Bial::operator-	(	const Color &	clr,
		double	scalar
	)

Computes the differente between scalar and input color channel values and returns the result.

Date

2015/Oct/21

Parameters

scalar	a scalar.
clr	Input color.

Returns

Subtracts scalar from input color channel values, or vice-versa.

Warning

none.

Color Bial::operator-	(	double	scalar,
		const Color &	clr
	)

template<class D >

Image< D > Bial::operator-	(	const Image< D > &	img1,
		const Image< D > &	img2
	)

Computes the difference of the images and returns the result.

Date

2012/Jul/02

Parameters

img1,img2

Input images.

Returns

Difference of the input images element by element.

Warning

Images must have the same dimensions.

template<class D >

Image< D > Bial::operator-	(	const Image< D > &	img,
		double	scalar
	)

Computes the differente between scalar and input image pixel values and returns the result.

Date

2012/Jul/02

Parameters

scalar	a scalar.
img	Input image.

Returns

Subtracts scalar from input image pixel values, or vice-versa.

Warning

none.

template<class D >

Image< D > Bial::operator-	(	double	scalar,
		const Image< D > &	img
	)

RealColor& Bial::operator-=	(	RealColor &	clr1,
		const RealColor &	clr2
	)

Computes the difference between input colors, assigns the result to clr1, and returns the result.

Date

2015/Oct/06

Parameters

other

Other color.

Returns

Reference to clr1.

Warning

none.

Color& Bial::operator-=	(	Color &	clr1,
		const Color &	clr2
	)

Computes the difference between input colors, assigns the result to clr1, and returns the result.

Date

2015/Oct/06

Parameters

other

Other color.

Returns

Reference to clr1.

Warning

none.

RealColor& Bial::operator-=	(	RealColor &	clr,
		double	scalar
	)

Computes the difference between the scalar and input color channel values and assigns the result to clr.

Date

2015/Oct/21

Parameters

scalar	a scalar.
clr	Input color.

Returns

Reference to clr.

Warning

none.

Color& Bial::operator-=	(	Color &	clr,
		double	scalar
	)

Computes the difference between the scalar and input color channel values and assigns the result to clr.

Date

2015/Oct/21

Parameters

scalar	a scalar.
clr	Input color.

Returns

Reference to clr.

Warning

none.

template<class D >

Image< D >& Bial::operator-=	(	Image< D > &	img1,
		const Image< D > &	img2
	)

Computes the difference between input images, assigns the result to img1, and returns the result.

Date

2012/Jul/02

Parameters

other

Other image.

Returns

Reference to img1.

Warning

Images must have the same dimensions.

template<class D >

Image< D >& Bial::operator-=	(	Image< D > &	img,
		double	scalar
	)

Computes the difference between the scalar and input image pixel values and assigns the result to img.

Date

2012/Jul/02

Parameters

scalar	a scalar.
img	Input image.

Returns

Reference to img.

Warning

none.

RealColor Bial::operator/	(	const RealColor &	clr1,
		const RealColor &	clr2
	)

Computes the quotient of the colors and returns the result.

Date

2015/Oct/06

Parameters

clr1,clr2

Input colors.

Returns

Quotient of the input colors element by element.

Warning

none.

Color Bial::operator/	(	const Color &	clr1,
		const Color &	clr2
	)

Computes the quotient of the colors and returns the result.

Date

2015/Oct/06

Parameters

clr1,clr2

Input colors.

Returns

Quotient of the input colors element by element.

Warning

none.

RealColor Bial::operator/	(	const RealColor &	clr,
		double	scalar
	)

Computes the quotient between the scalar and the input color channel values and returns the result.

Date

2015/Oct/21

Parameters

scalar	a scalar.
clr	Input color.

Returns

Divides the scalar by the input color channel values, or vice-versa.

Warning

none.

RealColor Bial::operator/	(	double	scalar,
		const RealColor &	clr
	)

Color Bial::operator/	(	const Color &	clr,
		double	scalar
	)

Computes the quotient between the scalar and the input color channel values and returns the result.

Date

2015/Oct/21

Parameters

scalar	a scalar.
clr	Input color.

Returns

Divides the scalar by the input color channel values, or vice-versa.

Warning

none.

Color Bial::operator/	(	double	scalar,
		const Color &	clr
	)

template<class D >

Image< D > Bial::operator/	(	const Image< D > &	img1,
		const Image< D > &	img2
	)

Computes the quotient of the images and returns the result.

Date

2012/Jul/02

Parameters

img1,img2

Input images.

Returns

Quotient of the input images element by element.

Warning

Images must have the same dimensions.

template<class D >

Image< D > Bial::operator/	(	const Image< D > &	img,
		double	scalar
	)

Computes the quotient between the scalar and the input image pixel values and returns the result.

Date

2012/Jul/02

Parameters

scalar	a scalar.
img	Input image.

Returns

Divides the scalar by the input image pixel values, or vice-versa.

Warning

none.

template<class D >

Image< D > Bial::operator/	(	double	scalar,
		const Image< D > &	img
	)

RealColor& Bial::operator/=	(	RealColor &	clr1,
		const RealColor &	clr2
	)

Computes the quotient between input colors, assigns the result to clr1, and returns the result.

Date

2015/Oct/06

Parameters

other

Other color.

Returns

Reference to clr1.

Warning

none.

Color& Bial::operator/=	(	Color &	clr1,
		const Color &	clr2
	)

Computes the quotient between input colors, assigns the result to clr1, and returns the result.

Date

2015/Oct/06

Parameters

other

Other color.

Returns

Reference to clr1.

Warning

none.

RealColor& Bial::operator/=	(	RealColor &	clr,
		double	scalar
	)

Computes the quotient between the scalar and the input color channel values and assigns the result to clr.

Date

2015/Oct/21

Parameters

scalar	a scalar.
clr	Input color.

Returns

Reference to clr.

Warning

none.

Color& Bial::operator/=	(	Color &	clr,
		double	scalar
	)

Computes the quotient between the scalar and the input color channel values and assigns the result to clr.

Date

2015/Oct/21

Parameters

scalar	a scalar.
clr	Input color.

Returns

Reference to clr.

Warning

none.

template<class D >

Image< D >& Bial::operator/=	(	Image< D > &	img1,
		const Image< D > &	img2
	)

Computes the quotient between input images, assigns the result to img1, and returns the result.

Date

2012/Jul/02

Parameters

other

Other image.

Returns

Reference to img1.

Warning

Images must have the same dimensions.

template<class D >

Image< D >& Bial::operator/=	(	Image< D > &	img,
		double	scalar
	)

Computes the quotient between the scalar and the input image pixel values and assigns the result to img.

Date

2012/Jul/02

Parameters

scalar	a scalar.
img	Input image.

Returns

Reference to img.

Warning

none.

template<class D , size_t S>

bool Bial::operator<	(	const Array< D, S > &	lhs,
		const Array< D, S > &	rhs
	)

Definition at line 1296 of file Array.hpp.

template<class D >

bool Bial::operator<	(	const Vector< D > &	lhs,
		const Vector< D > &	rhs
	)

Definition at line 4031 of file Vector.hpp.

template<class O >

O& Bial::operator<<	(	O &	os,
		const Point &	obj
	)

Prints object features into the output stream.

Date

2015/Jul/08

Parameters

os	An output stream class.
obj	The object to be written into the output stream.

Returns

the output stream.

Warning

none.

template<class O >

O& Bial::operator<<	(	O &	os,
		const Box &	obj
	)

Prints object features into the output stream.

Date

2015/Jul/08

Parameters

os	An output stream class.
obj	The object to be written into the output stream.

Returns

the output stream.

Warning

none.

template<class O >

O& Bial::operator<<	(	O &	os,
		const Line &	obj
	)

Prints object features into the output stream.

Date

2015/Jul/08

Parameters

os	An output stream class.
obj	The object to be written into the output stream.

Returns

the output stream.

Warning

none.

template<class O >

O& Bial::operator<<	(	O &	os,
		const Circle &	obj
	)

Prints object features into the output stream.

Date

2015/Jul/08

Parameters

os	An output stream class.
obj	The object to be written into the output stream.

Returns

the output stream.

Warning

none.

template<class O >

O& Bial::operator<<	(	O &	os,
		const Sequence &	obj
	)

Prints object features into the output stream.

Date

2016/Aug/11

Parameters

os	An output stream class.
obj	The object to be written into the output stream.

Returns

the output stream.

Warning

none.

template<class O >

O& Bial::operator<<	(	O &	os,
		const Kernel &	knl
	)

template<class D , class O >

O& Bial::operator<<	(	O &	os,
		const Feature< D > &	ftr
	)

Definition at line 294 of file Feature.hpp.

template<class D , size_t S, class O >

O& Bial::operator<<	(	O &	os,
		const Array< D, S > &	vec
	)

Definition at line 323 of file Array.hpp.

template<class O >

O & Bial::operator<<	(	O &	os,
		const RealColor &	clr
	)

Prints the color in a friendly way.

Date

2015/Oct/21

Parameters

os	output stream. clr: A color.

Returns

Reference to os.

Warning

none.

Definition at line 336 of file RealColor.hpp.

template<class O >

O & Bial::operator<<	(	O &	os,
		const Color &	clr
	)

Prints the color in a friendly way.

Date

2015/Oct/21

Parameters

os	output stream. clr: A color.

Returns

Reference to os.

Warning

none.

Definition at line 375 of file Color.hpp.

template<class O >

O& Bial::operator<<	(	O &	os,
		const Signal &	sig
	)

Definition at line 377 of file Signal.hpp.

template<class O >

O& Bial::operator<<	(	O &	os,
		const Table &	tbl
	)

Definition at line 416 of file Table.hpp.

template<class O >

O& Bial::operator<<	(	O &	os,
		const Adjacency &	adj
	)

Prints the adjacency relation in a friendly way.

Parameters

os	output stream.
adj	an adjacency relation.

Returns

Reference to os.

Warning

none.

template<class O >

O& Bial::operator<<	(	O &	os,
		const NiftiHeader &	hdr
	)

Prints the header in a friendly way.

Parameters

os	output stream. hdr: a nifti header.

Returns

Reference to os.

Warning

none.

template<class O >

O& Bial::operator<<	(	O &	os,
		NiftiHeader &	hdr
	)

Definition at line 822 of file NiftiHeader.hpp.

template<class D , class O >

O& Bial::operator<<	(	O &	os,
		const Vector< D > &	vec
	)

Definition at line 861 of file Vector.hpp.

template<class D , class O >

O & Bial::operator<<	(	O &	os,
		const Image< D > &	img
	)

Prints the image in a friendly way.

Parameters

os	output stream. img: an image.

Returns

Reference to os.

Warning

none.

Definition at line 1149 of file Image.hpp.

template<class D , class O >

O& Bial::operator<<	(	O &	os,
		const Matrix< D > &	mat
	)

Prints the matrix in a friendly way.

Parameters

os	output stream.
mat	a matrix.

Returns

Reference to os.

Warning

none.

Definition at line 1132 of file Matrix.hpp.

template<class D , size_t S>

bool Bial::operator<=	(	const Array< D, S > &	lhs,
		const Array< D, S > &	rhs
	)

Definition at line 1315 of file Array.hpp.

template<class D >

bool Bial::operator<=	(	const Vector< D > &	lhs,
		const Vector< D > &	rhs
	)

Definition at line 4058 of file Vector.hpp.

bool Bial::operator==	(	const RealColor &	clr1,
		const RealColor &	clr2
	)

Compares two colors and returns true if they are equal.

Date

2015/Oct/20

Parameters

other

Other color.

Returns

true if clr1 is equal to clr2.

Warning

none.

bool Bial::operator==	(	const Color &	clr1,
		const Color &	clr2
	)

Compares two colors and returns true if they are equal.

Date

2015/Oct/06

Parameters

other

Other color.

Returns

true if clr1 is equal to clr2.

Warning

none.

template<class D , size_t S>

bool Bial::operator==	(	const Array< D, S > &	lhs,
		const Array< D, S > &	rhs
	)

Operators.

Date

2015/Apr/22

Parameters

lhs	left array.
rhs	right array.

Returns

Result of operator.

Warning

none.

Definition at line 1258 of file Array.hpp.

template<class D >

bool Bial::operator==	(	const Vector< D > &	lhs,
		const Vector< D > &	rhs
	)

Operators.

Date

2015/Apr/01

Parameters

lhs	left vector.
rhs	right vector.

Returns

Result of operator.

Warning

none.

Definition at line 3977 of file Vector.hpp.

template<class D , size_t S>

bool Bial::operator>	(	const Array< D, S > &	lhs,
		const Array< D, S > &	rhs
	)

Definition at line 1334 of file Array.hpp.

template<class D >

bool Bial::operator>	(	const Vector< D > &	lhs,
		const Vector< D > &	rhs
	)

Definition at line 4085 of file Vector.hpp.

template<class D , size_t S>

bool Bial::operator>=	(	const Array< D, S > &	lhs,
		const Array< D, S > &	rhs
	)

Definition at line 1353 of file Array.hpp.

template<class D >

bool Bial::operator>=	(	const Vector< D > &	lhs,
		const Vector< D > &	rhs
	)

Definition at line 4112 of file Vector.hpp.

template<class D >

static Image< D > Bial::Read ( const std::string &  filename )

static

Read an image from an input file and returns it.

Date

2012/Jul/02

Parameters

filename

Source file to be readed.

Returns

Read image.

Warning

none.

Read an image from an input file and returns it.

Date

2014/Oct/21

Parameters

filename

Name of input file with .opf extension.

Returns

A feature vector.

Warning

none.

Definition at line 170 of file FileImage.hpp.

template<class D >

Image< D > Bial::Read

(

const std::string &

filename

)

Reads data from file and initializes a Feature vector with it.

Read an image from an input file and returns it.

Date

2014/Oct/21

Parameters

filename

Name of input file with .opf extension.

Returns

A feature vector.

Warning

none.

Definition at line 170 of file FileImage.hpp.

template<>

Image< Color > Bial::Read

(

const std::string &

filename

)

Reads data from file and initializes a Feature vector with it.

Read an image from an input file and returns it.

Date

2014/Oct/21

Parameters

filename

Name of input file with .opf extension.

Returns

A feature vector.

Warning

none.

Definition at line 228 of file FileImage.hpp.

template<class D >

static Image< D > Bial::ReadDicom ( const std::string &  filename )

static

Open a Dicom file for reading and returns it.

Date

2013/Oct/28

Parameters

filename

Source filename to be readed.

Returns

A reference to the created scene.

Warning

none.

Definition at line 40 of file FileDicom.hpp.

template<class D >

Image< D > Bial::ReadDicom

(

const std::string &

filename

)

Open a Dicom file for reading and returns it.

Date

2013/Oct/28

Parameters

filename

Source filename to be readed.

Returns

A reference to the created scene.

Warning

none.

Definition at line 40 of file FileDicom.hpp.

template<>

Image< Color > Bial::ReadDicom

(

const std::string &

filename

)

Open a Dicom file for reading and returns it.

Date

2013/Oct/28

Parameters

filename

Source filename to be readed.

Returns

A reference to the created scene.

Warning

none.

Definition at line 64 of file FileDicom.hpp.

template<class D >

static Vector< Image< D > > Bial::ReadDir ( const std::string &  dirname )

static

Reads all supported images contained in the directory and return them in a vector of images.

Date

2013/Oct/29

Parameters

dirname

Source directory.

Returns

A vector with the images in the given directory.

Warning

none.

Definition at line 135 of file FileImage.hpp.

template<class D >

Vector< Image< D > > Bial::ReadDir

(

const std::string &

dirname

)

Reads all supported images contained in the directory and return them in a vector of images.

Date

2013/Oct/29

Parameters

dirname

Source directory.

Returns

A vector with the images in the given directory.

Warning

none.

Definition at line 135 of file FileImage.hpp.

template<class D >

static Matrix< D > Bial::ReadMatrix ( const std::string &  filename )

static

Reads matrix from file.

Date

2015/Jun/09

Parameters

filename

Name of the file conatining matrix.

Returns

The read matrix.

Warning

none.

Definition at line 61 of file FileMatrix.hpp.

template<class D >

Matrix< D > Bial::ReadMatrix

(

const std::string &

filename

)

Reads matrix from file.

Date

2015/Jun/09

Parameters

filename

Name of the file conatining matrix.

Returns

The read matrix.

Warning

none.

Definition at line 61 of file FileMatrix.hpp.

template<class D >

static Image< D > Bial::ReadNifti ( const std::string &  filename )

static

Open a Nifti file for reading and store its content in 'this'.

Date

2012/Jul/02

Parameters

filename

Source filename to be readed.

Returns

A reference to the created scene.

Warning

none.

Definition at line 55 of file FileNifti.hpp.

template<>

Image< Color > Bial::ReadNifti

(

const std::string &

filename

)

Open a Nifti file for reading and store its content in 'this'.

Date

2012/Jul/02

Parameters

filename

Source filename to be readed.

Returns

A reference to the created scene.

Warning

none.

Definition at line 55 of file FileNifti.hpp.

template<class D >

Image< D > Bial::ReadNifti

(

const std::string &

filename

)

Open a Nifti file for reading and store its content in 'this'.

Date

2012/Jul/02

Parameters

filename

Source filename to be readed.

Returns

A reference to the created scene.

Warning

none.

Definition at line 230 of file FileNifti.hpp.

template<class D >

static Image< D > Bial::ReadPBM ( const std::string &  filename )

static

Reads a PBM file and returns its contents.

Date

2013/Jul/05

Parameters

filename

Source filename to be readed.

Returns

A reference to the created image.

Warning

none.

Definition at line 130 of file FilePNM.hpp.

template<class D >

Image< D > Bial::ReadPBM

(

const std::string &

filename

)

Reads a PBM file and returns its contents.

Date

2013/Jul/05

Parameters

filename

Source filename to be readed.

Returns

A reference to the created image.

Warning

none.

Definition at line 130 of file FilePNM.hpp.

template<>

Image< Color > Bial::ReadPBM

(

const std::string &

filename

)

Reads a PBM file and returns its contents.

Date

2013/Jul/05

Parameters

filename

Source filename to be readed.

Returns

A reference to the created image.

Warning

none.

Definition at line 225 of file FilePNM.hpp.

template<class D >

static Image< D > Bial::ReadPGM ( const std::string &  filename )

static

Reads a PGM file and returns its contents.

Date

2013/Jul/05

Parameters

filename

Source filename to be readed.

Returns

A reference to the created image.

Warning

none.

Definition at line 252 of file FilePNM.hpp.

template<class D >

Image< D > Bial::ReadPGM

(

const std::string &

filename

)

Reads a PGM file and returns its contents.

Date

2013/Jul/05

Parameters

filename

Source filename to be readed.

Returns

A reference to the created image.

Warning

none.

Definition at line 252 of file FilePNM.hpp.

template<>

Image< Color > Bial::ReadPGM

(

const std::string &

filename

)

Reads a PGM file and returns its contents.

Date

2013/Jul/05

Parameters

filename

Source filename to be readed.

Returns

A reference to the created image.

Warning

none.

Definition at line 382 of file FilePNM.hpp.

template<class D >

static Image< D > Bial::ReadPNM ( const std::string &  filename )

static

Reads a PNM file and returns its contents.

Date

2013/Jul/05

Parameters

filename

Source filename to be readed.

Returns

A reference to the created image.

Warning

none.

Definition at line 573 of file FilePNM.hpp.

template<class D >

Image< D > Bial::ReadPNM

(

const std::string &

filename

)

Reads a PNM file and returns its contents.

Date

2013/Jul/05

Parameters

filename

Source filename to be readed.

Returns

A reference to the created image.

Warning

none.

Definition at line 573 of file FilePNM.hpp.

template<>

Image< Color > Bial::ReadPNM

(

const std::string &

filename

)

Reads a PNM file and returns its contents.

Date

2013/Jul/05

Parameters

filename

Source filename to be readed.

Returns

A reference to the created image.

Warning

none.

Definition at line 621 of file FilePNM.hpp.

template<class D >

static Image< D > Bial::ReadPPM ( const std::string &  filename )

static

Reads a PPM file and returns its contents.

Date

2013/Jul/05

Parameters

filename

Source filename to be readed.

Returns

A reference to the created image.

Warning

none.

Definition at line 409 of file FilePNM.hpp.

template<class D >

Image< D > Bial::ReadPPM

(

const std::string &

filename

)

Reads a PPM file and returns its contents.

Date

2013/Jul/05

Parameters

filename

Source filename to be readed.

Returns

A reference to the created image.

Warning

none.

Definition at line 409 of file FilePNM.hpp.

template<>

Image< Color > Bial::ReadPPM

(

const std::string &

filename

)

Reads a PPM file and returns its contents.

Date

2013/Jul/05

Parameters

filename

Source filename to be readed.

Returns

A reference to the created image.

Warning

none.

Definition at line 436 of file FilePNM.hpp.

template<class D >

static Image< D > Bial::ReadScene ( const std::string &  filename )

static

Open a Scene file for reading and returns it.

Date

2012/Jul/02

Parameters

filename

Source filename to be readed.

Returns

A reference to the created scene.

Warning

none.

Definition at line 52 of file FileScene.hpp.

template<class D >

Image< D > Bial::ReadScene

(

const std::string &

filename

)

Open a Scene file for reading and returns it.

Date

2012/Jul/02

Parameters

filename

Source filename to be readed.

Returns

A reference to the created scene.

Warning

none.

Definition at line 52 of file FileScene.hpp.

template<>

Image< Color > Bial::ReadScene

(

const std::string &

filename

)

Open a Scene file for reading and returns it.

Date

2012/Jul/02

Parameters

filename

Source filename to be readed.

Returns

A reference to the created scene.

Warning

none.

Definition at line 145 of file FileScene.hpp.

template<class D >

Feature< D > Bial::SpatialFeature

(

const Matrix< D > &

src

)

Features are the coordinates of non-zero samples in src matrix.

Date

2013/Jul/20

Parameters

src	Input source matrix to extract features.

Returns

A spatial feature vector.

Warning

none.

template<class D >

Feature< D > Bial::SpatialFeature

(

const Image< D > &

src

)

Features are the coordinates of non-zero samples in src image.

Date

2014/Apr/16

Parameters

src	Input source image to extract features.

Returns

A spatial feature vector.

Warning

none.

bool Bial::Supported ( const std::string &  filename )

static

Returns true for supported images. Return false for folders.

Date

2014/Mai/26

Parameters

filename

A filename.

Returns

True for supported images. Return false for folders.

Warning

Must be optimized to change only letters.

Definition at line 103 of file FileImage.hpp.

template<class D >

void Bial::SVGDForest	(	const Image< D > &	cost,
		const Image< int > &	pred,
		const Image< int > &	label,
		const std::string &	filename
	)

Writes the directed graph in SVG format into a file.

Date

2015/Aug/30

Parameters

cost	The cost of the vertices.
pred	The predecessor in the forest of each element. -1 means the element is a root.
label	The label of the vertices. Must have the same size as vertex image. Converted to colors automatically.
filename	File to write results.

Returns

none.

Warning

none.

template<class D >

void Bial::SVGDGraph	(	const Image< D > &	vertex,
		const Adjacency &	adj,
		const std::string &	filename
	)

Writes the directed graph in SVG format into a file.

Date

2015/Aug/30

Parameters

vertex	Lines image containing vertices with their weight.
adj	An adjacency relation to compute the arcs.
filename	File to write results.

Returns

none.

Warning

none.

template<class D >

void Bial::SVGDGraph	(	const Image< D > &	vertex,
		const Vector< bool > &	seed,
		const Adjacency &	adj,
		const std::string &	filename
	)

Writes the directed graph in SVG format into a file.

Date

2015/Aug/30

Parameters

vertex	Lines image containing vertices with their weight.
seed	A boolean Vector with the same size of the vertex image indicating if each element is a seed or not.
adj	An adjacency relation to compute the arcs.
filename	File to write results.

Returns

none.

Warning

none.

template<class D >

void Bial::SVGDGraph	(	const Image< D > &	vertex,
		const Vector< bool > &	seed,
		const Image< int > &	label,
		const Adjacency &	adj,
		const std::string &	filename
	)

Writes the directed graph in SVG format into a file.

Date

2015/Aug/30

Parameters

vertex	Lines image containing vertices with their weight.
seed	A boolean Vector with the same size of the vertex image indicating if each element is a seed or not.
label	The label of the objects. Must have the same size as vertex image. Converted to colors automatically.
adj	An adjacency relation to compute the arcs.
filename	File to write results.

Returns

none.

Warning

none.

template<class D , size_t S>

void Bial::swap	(	Array< D, S > &	x,
		Array< D, S > &	y
	)

Definition at line 1462 of file Array.hpp.

template<class D >

void Bial::swap	(	Vector< D > &	x,
		Vector< D > &	y
	)

Definition at line 4139 of file Vector.hpp.

void Bial::Write	(	const Signal &	sgn,
		const std::string &	filename
	)

Writes signal containts file. It writes a pair composed by frequency and value per line.

Date

2014/Feb/12

Parameters

filename

A filename.

Returns

none.

Warning

none.

template<class D >

static void Bial::Write ( const Matrix< D > &  mtx, const std::string &  filename  )

static

Writes matrix into file.

Date

2015/Jun/09

Parameters

mtx	Input matrix.
filename	Name of the file conatining matrix.

Returns

none.

Warning

none.

Definition at line 178 of file FileMatrix.hpp.

template<class D >

static void Bial::Write ( const Image< D > &  img, const std::string &  filename  )

static

Write the input image to a file with given name.

Date

2012/Jul/03

Parameters

img	input image.
filename	Source file to be written.

Returns

none.

Warning

none.

Definition at line 287 of file FileImage.hpp.

template<class D >

static void Bial::Write ( const Image< D > &  img, const std::string &  filename, const std::string &  headername  )

static

Write the input image to a file with given name. Also, includes the header read from given header name.

Date

2013/Sep/25

Parameters

img	input image.
filename	Name of the file to be written.
headername	Name of input file containg header to be cloned.

Returns

none.

Warning

Implemented only for nifti-1 files.

Definition at line 417 of file FileImage.hpp.

template<class D >

void Bial::Write	(	const Matrix< D > &	mtx,
		const std::string &	filename
	)

Writes matrix into file.

Date

2015/Jun/09

Parameters

mtx	Input matrix.
filename	Name of the file conatining matrix.

Returns

none.

Warning

none.

Definition at line 178 of file FileMatrix.hpp.

template<class D >

void Bial::Write	(	const Image< D > &	img,
		const std::string &	filename
	)

Write the input image to a file with given name.

Date

2012/Jul/03

Parameters

img	input image.
filename	Source file to be written.

Returns

none.

Warning

none.

Definition at line 287 of file FileImage.hpp.

template<>

void Bial::Write	(	const Image< Color > &	img,
		const std::string &	filename
	)

Definition at line 352 of file FileImage.hpp.

template<class D >

void Bial::Write	(	const Image< D > &	img,
		const std::string &	filename,
		const std::string &	headername
	)

Write the input image to a file with given name. Also, includes the header read from given header name.

Date

2013/Sep/25

Parameters

img	input image.
filename	Name of the file to be written.
headername	Name of input file containg header to be cloned.

Returns

none.

Warning

Implemented only for nifti-1 files.

Definition at line 417 of file FileImage.hpp.

template<>

void Bial::Write	(	const Image< Color > &	img,
		const std::string &	filename,
		const std::string &	headername
	)

Definition at line 469 of file FileImage.hpp.

template<class D >

static void Bial::WriteBMP ( const Image< D > &  img, const std::string &  filename  )

static

Open a BMP file to write 'this' content.

Date

2013/Dec/20

Parameters

img	input image.
filename	Source file to be written.

Returns

A reference to the input image.

Warning

none.

Definition at line 44 of file FileBMP.hpp.

template<class D >

void Bial::WriteBMP	(	const Image< D > &	img,
		const std::string &	filename
	)

Open a BMP file to write 'this' content.

Date

2013/Dec/20

Parameters

img	input image.
filename	Source file to be written.

Returns

A reference to the input image.

Warning

none.

Definition at line 44 of file FileBMP.hpp.

template<>

void Bial::WriteBMP	(	const Image< Color > &	img,
		const std::string &	filename
	)

Definition at line 135 of file FileBMP.hpp.

template<class D >

static void Bial::WriteMatrix ( const Matrix< D > &  mtx, const std::string &  filename  )

static

Writes matrix into file.

Date

2015/Jun/09

Parameters

mtx	Input matrix.
filename	Name of the file conatining matrix.

Returns

none.

Warning

none.

Definition at line 173 of file FileMatrix.hpp.

template<class D >

void Bial::WriteMatrix	(	const Matrix< D > &	mtx,
		const std::string &	filename
	)

Writes matrix into file.

Date

2015/Jun/09

Parameters

mtx	Input matrix.
filename	Name of the file conatining matrix.

Returns

none.

Warning

none.

Definition at line 173 of file FileMatrix.hpp.

template<class D >

static void Bial::WriteNifti ( const Image< D > &  img, const std::string &  filename, const NiftiHeader &  hdr  )

static

Open a Nifti file to write the content from 'this'.

Date

2012/Jul/03

Parameters

img	input image.
filename	Source file to be written.

Returns

A reference to the input image.

Warning

none.

Definition at line 403 of file FileNifti.hpp.

template<class D >

void Bial::WriteNifti	(	const Image< D > &	img,
		const std::string &	filename,
		const NiftiHeader &	hdr
	)

Open a Nifti file to write the content from 'this'.

Date

2012/Jul/03

Parameters

img	input image.
filename	Source file to be written.

Returns

A reference to the input image.

Warning

none.

Definition at line 403 of file FileNifti.hpp.

template<>

void Bial::WriteNifti	(	const Image< Color > &	img,
		const std::string &	filename,
		const NiftiHeader &	hdr
	)

Definition at line 537 of file FileNifti.hpp.

template<class D >

static void Bial::WritePBM ( const Image< D > &  img, const std::string &  filename, const PNMHeader &  hdr = PNMHeader(), const bool  binary = true  )

static

Open a PBM file to write 'this' content.

Date

2013/Jul/20

Parameters

img	input image.
filename	Source file to be written.
hdr	PNM Header.
binary	true for binary and false for text file.

Returns

A reference to the input image.

Warning

none.

Definition at line 669 of file FilePNM.hpp.

template<class D >

void Bial::WritePBM	(	const Image< D > &	img,
		const std::string &	filename,
		const PNMHeader &	hdr = PNMHeader(),
		const bool	binary = true
	)

Open a PBM file to write 'this' content.

Date

2013/Jul/20

Parameters

img	input image.
filename	Source file to be written.
hdr	PNM Header.
binary	true for binary and false for text file.

Returns

A reference to the input image.

Warning

none.

Definition at line 669 of file FilePNM.hpp.

template<>

void Bial::WritePBM	(	const Image< Color > &	img,
		const std::string &	filename,
		const PNMHeader &	hdr,
		const bool	binary
	)

Definition at line 748 of file FilePNM.hpp.

template<class D >

static void Bial::WritePGM ( const Image< D > &  img, const std::string &  filename, const PNMHeader &  hdr = PNMHeader(), const bool  binary = false  )

static

Open a PGM file to write 'this' content.

Date

2013/Jul/20

Parameters

img	input image.
filename	Source file to be written.
hdr	PNM Header.
binary	true for binary and false for text file.

Returns

A reference to the input image.

Warning

none.

Definition at line 779 of file FilePNM.hpp.

template<class D >

void Bial::WritePGM	(	const Image< D > &	img,
		const std::string &	filename,
		const PNMHeader &	hdr = PNMHeader(),
		const bool	binary = false
	)

Open a PGM file to write 'this' content.

Date

2013/Jul/20

Parameters

img	input image.
filename	Source file to be written.
hdr	PNM Header.
binary	true for binary and false for text file.

Returns

A reference to the input image.

Warning

none.

Definition at line 779 of file FilePNM.hpp.

template<>

void Bial::WritePGM	(	const Image< Color > &	img,
		const std::string &	filename,
		const PNMHeader &	hdr,
		const bool	binary
	)

Definition at line 857 of file FilePNM.hpp.

template<class D >

static void Bial::WritePNM ( const Image< D > &  img, const std::string &  filename, const PNMHeader &  hdr = PNMHeader(), const bool  binary = true  )

static

Open a PNM file to write 'this' content.

Date

2013/Jul/20

Parameters

img	input image.
filename	Source file to be written.
hdr	PNM Header.
binary	true for binary and false for text file.

Returns

none.

Warning

none.

Definition at line 991 of file FilePNM.hpp.

template<class D >

void Bial::WritePNM	(	const Image< D > &	img,
		const std::string &	filename,
		const PNMHeader &	hdr = PNMHeader(),
		const bool	binary = true
	)

Open a PNM file to write 'this' content.

Date

2013/Jul/20

Parameters

img	input image.
filename	Source file to be written.
hdr	PNM Header.
binary	true for binary and false for text file.

Returns

none.

Warning

none.

Definition at line 991 of file FilePNM.hpp.

template<>

void Bial::WritePNM	(	const Image< Color > &	img,
		const std::string &	filename,
		const PNMHeader &	hdr,
		const bool	binary
	)

Definition at line 1023 of file FilePNM.hpp.

template<class D >

static void Bial::WritePPM ( const Image< D > &  img, const std::string &  filename, const PNMHeader &  hdr = PNMHeader(), const bool  binary = true  )

static

Open a PPM file to write 'this' content.

Date

2013/Jul/20

Parameters

img	input image.
filename	Source file to be written.
hdr	PNM Header.
binary	true for binary and false for text file.

Returns

A reference to the input image.

Warning

none.

Definition at line 887 of file FilePNM.hpp.

template<class D >

void Bial::WritePPM	(	const Image< D > &	img,
		const std::string &	filename,
		const PNMHeader &	hdr = PNMHeader(),
		const bool	binary = true
	)

Open a PPM file to write 'this' content.

Date

2013/Jul/20

Parameters

img	input image.
filename	Source file to be written.
hdr	PNM Header.
binary	true for binary and false for text file.

Returns

A reference to the input image.

Warning

none.

Definition at line 887 of file FilePNM.hpp.

template<>

void Bial::WritePPM	(	const Image< Color > &	img,
		const std::string &	filename,
		const PNMHeader &	,
		const bool	binary
	)

Definition at line 918 of file FilePNM.hpp.

template<class D >

static void Bial::WriteScene ( const Image< D > &  img, const std::string &  filename  )

static

Open a Scene file to write 'this' content.

Date

2012/Jul/03

Parameters

img	input image.
filename	Source file to be written.

Returns

A reference to the input image.

Warning

none.

Definition at line 171 of file FileScene.hpp.

template<class D >

void Bial::WriteScene	(	const Image< D > &	img,
		const std::string &	filename
	)

Open a Scene file to write 'this' content.

Date

2012/Jul/03

Parameters

img	input image.
filename	Source file to be written.

Returns

A reference to the input image.

Warning

none.

Definition at line 171 of file FileScene.hpp.

template<>

void Bial::WriteScene	(	const Image< Color > &	img,
		const std::string &	filename
	)

Definition at line 248 of file FileScene.hpp.