MatGoodFeaturesToTrack Method OpenCvSharp Class Library
Finds the strong enough corners where the cornerMinEigenVal() or cornerHarris() report the local maxima. Input matrix must be 8-bit or floating-point 32-bit, single-channel image.

Namespace:  OpenCvSharp.CPlusPlus
Assembly:  OpenCvSharp.CPlusPlus (in OpenCvSharp.CPlusPlus.dll) Version: 1.0.0.0 (1.0.0.0)
Syntax

public Point2f[] GoodFeaturesToTrack(
	int maxCorners,
	double qualityLevel,
	double minDistance,
	InputArray mask,
	int blockSize,
	bool useHarrisDetector,
	double k
)

Parameters

maxCorners
Type: SystemInt32
Maximum number of corners to return. If there are more corners than are found, the strongest of them is returned.
qualityLevel
Type: SystemDouble
Parameter characterizing the minimal accepted quality of image corners. The parameter value is multiplied by the best corner quality measure, which is the minimal eigenvalue or the Harris function response (see cornerHarris() ). The corners with the quality measure less than the product are rejected. For example, if the best corner has the quality measure = 1500, and the qualityLevel=0.01, then all the corners with the quality measure less than 15 are rejected.
minDistance
Type: SystemDouble
Minimum possible Euclidean distance between the returned corners.
mask
Type: OpenCvSharp.CPlusPlusInputArray
Optional region of interest. If the image is not empty (it needs to have the type CV_8UC1 and the same size as image ), it specifies the region in which the corners are detected.
blockSize
Type: SystemInt32
Size of an average block for computing a derivative covariation matrix over each pixel neighborhood.
useHarrisDetector
Type: SystemBoolean
Parameter indicating whether to use a Harris detector
k
Type: SystemDouble
Free parameter of the Harris detector.

Return Value

Type: Point2f
Output vector of detected corners.
See Also

Reference