Opencv Hoff transform detection circular cvhoughcircles

CVAPI(CvSeq*) cvHoughCircles( CvArr* image, void* circle_storage,                              int method, double dp, double min_dist,                              double param1 CV_DEFAULT(100),                              double param2 CV_DEFAULT(100),                              int min_radius CV_DEFAULT(0),                              int max_radius CV_DEFAULT(0));

Image the 8-bit, single-channel, grayscale input image

Circles the output vector of found circles. Each vector is encoded as 3-element contains oating-point
Vector

Method currently, the only implemented method is CV fig, which is basically 21ht,
Described in [25].

DP the inverse ratio of the accumulator resolution to the image resolution. For example, if dp = 1,
The accumulator will have the same resolution as the input image, if dp = 2-accumulator will
Have half as big width and height, etc

Mindist minimum distance between the centers of the detected circles. If the parameter is too
Small, multiple neighbor circles may be falsely detected in addition to a true one. If it is too
Large, some circles may be missed

Param1 the specified rst method-speci found C parameter. In the case of CV Hough gradient It is the higher
Threshold of the two passed to CV: Canny edge detector (the lower one will be twice smaller)

Param2 the second method-speci limit C parameter. In the case of CV Hough gradient It is
Accumulator threshold at the center detection stage. The smaller it is, the more false circles
May be detected. circles, corresponding to the larger accumulator values, will be returned
fi RST

Minradius minimum circle radius

Maxradius maximum circle radius