Bial::Hough Namespace Reference

Functions
template<class D >
Vector< Circle >	HoughCircles (Image< D > &img, float scale, float min_dist, size_t min_radius, size_t max_radius, float canny_threshold, size_t detection_threshold, int canny_levels, int clean_edges)
	Hough transform to detect circles in the input image. More...

Function Documentation

template<class D >

Vector< Circle > Bial::Hough::HoughCircles	(	Image< D > &	img,
		float	scale,
		float	min_dist,
		size_t	min_radius,
		size_t	max_radius,
		float	canny_threshold,
		size_t	detection_threshold,
		int	canny_levels,
		int	clean_edges
	)

Hough transform to detect circles in the input image.

Date

2015/Jun/23

Parameters

img	Input image.
scale	The scale in which hough transform is executed. Should be greater than 0.0.
min_dist	Minimum distance between detected circles.
min_radius,max_radius	Range of the radius of the circles.
canny_threshold	Canny higher threshold. Lower threshold is set to canny_threshold / 2.
detection_threshold	Threshold to accept or reject a circle. Suggested range: 10 to 200.
canny_levels	Number of levels in multi-level canny implementation. Suggestion: 1 to 3.
clean_edges	Use heuristic to remove border segments that will not contribute to find the circles.

Returns

A vector containing all detected circles.

Warning

none.