public static CvSeq<CvCircleSegment> HoughCircles(
	CvArr image,
	CvMat circleStorage,
	HoughCirclesMethod method,
	double dp,
	double minDist
)

Public Shared Function HoughCircles ( 
	image As CvArr,
	circleStorage As CvMat,
	method As HoughCirclesMethod,
	dp As Double,
	minDist As Double
) As CvSeq(Of CvCircleSegment)

public:
static CvSeq<CvCircleSegment>^ HoughCircles(
	CvArr^ image, 
	CvMat^ circleStorage, 
	HoughCirclesMethod method, 
	double dp, 
	double minDist
)

static member HoughCircles : 
        image : CvArr * 
        circleStorage : CvMat * 
        method : HoughCirclesMethod * 
        dp : float * 
        minDist : float -> CvSeq<CvCircleSegment> 

Parameters

image

Type: OpenCvSharpCvArr
The input 8-bit single-channel grayscale image.

circleStorage

Type: OpenCvSharpCvMat
The storage for the circles detected. It can be a memory storage or single row/single column matrix (CvMat*) of type CV_32FC3, to which the circles' parameters are written.

method

Type: OpenCvSharpHoughCirclesMethod
Currently, the only implemented method is CV_HOUGH_GRADIENT, which is basically 21HT

dp

Type: SystemDouble
Resolution of the accumulator used to detect centers of the circles. For example, if it is 1, the accumulator will have the same resolution as the input image, if it is 2 - accumulator will have twice smaller width and height, etc.

minDist

Type: SystemDouble
Minimum distance between 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.

Return Value

[Missing <returns> documentation for "M:OpenCvSharp.Cv.HoughCircles(OpenCvSharp.CvArr,OpenCvSharp.CvMat,OpenCvSharp.HoughCirclesMethod,System.Double,System.Double)"]

Reference