Image Processing 38 - Computing the Minimum Eigenvalue of the Gradient Matrix for Corner Detection

Compute the smallest eigenvalue of the gradient matrix for corner detection.

void cv::cornerMinEigenVal(InputArray src,
                        OutputArray dst,
                        int blockSize,
                        int ksize = 3,
                        int borderType = BORDER_DEFAULT
                        )

This function is similar to cornerEigenValsAndVecs, but it only computes and stores the smallest eigenvalue of the derivative covariance matrix, which is min(λ1,λ2) computed according to the formula in the cornerEigenValsAndVecs description.

src: Input single-channel 8-bit or floating-point image.

dst࿱