Method GoodFeaturesToTrack

Namespace

OpenCvSharp

Assembly

OpenCvSharp.dll

GoodFeaturesToTrack(InputArray, int, double, double, InputArray, int, bool, double)

finds the strong enough corners where the cornerMinEigenVal() or cornerHarris() report the local maxima

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

Parameters

src InputArray

Input 8-bit or floating-point 32-bit, single-channel image.

maxCorners int

Maximum number of corners to return. If there are more corners than are found, the strongest of them is returned.

qualityLevel double

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 double

Minimum possible Euclidean distance between the returned corners.

mask InputArray

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 int

Size of an average block for computing a derivative covariation matrix over each pixel neighborhood.

useHarrisDetector bool

Parameter indicating whether to use a Harris detector

k double

Free parameter of the Harris detector.

Returns

Point2f[]

Output vector of detected corners.

GoodFeaturesToTrack(InputArray, int, double, double, InputArray, int, int, bool, double)

finds the strong enough corners where the cornerMinEigenVal() or cornerHarris() report the local maxima

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

Parameters

src InputArray

Input 8-bit or floating-point 32-bit, single-channel image.

maxCorners int

Maximum number of corners to return. If there are more corners than are found, the strongest of them is returned.

qualityLevel double

Parameter characterizing the minimal accepted quality of image corners.

minDistance double

Minimum possible Euclidean distance between the returned corners.

mask InputArray

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 int

Size of an average block for computing a derivative covariation matrix over each pixel neighborhood.

gradientSize int

Aperture parameter for the Sobel operator used for derivatives computation.

useHarrisDetector bool

Parameter indicating whether to use a Harris detector

k double

Free parameter of the Harris detector.

Returns

Point2f[]

Output vector of detected corners.