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 oating-point
vector
method Currently, the only implemented method is CV HOUGH GRADIENT, 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 rst method-specic 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-specic parameter. in the case of CV HOUGH GRADIENT it is the
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
rst
minRadius Minimum circle radius
maxRadius Maximum circle radius
| 
转播
