Function opencv::imgproc::corner_eigen_vals_and_vecs

pub fn corner_eigen_vals_and_vecs(
    src: &dyn ToInputArray, 
    dst: &mut dyn ToOutputArray, 
    block_size: i32, 
    ksize: i32, 
    border_type: i32
) -> Result<()>

Calculates eigenvalues and eigenvectors of image blocks for corner detection.

For every pixel , the function cornerEigenValsAndVecs considers a blockSize blockSize neighborhood . It calculates the covariation matrix of derivatives over the neighborhood as:

where the derivatives are computed using the Sobel operator.

After that, it finds eigenvectors and eigenvalues of and stores them in the destination image as where

• are the non-sorted eigenvalues of
• are the eigenvectors corresponding to
• are the eigenvectors corresponding to

The output of the function can be used for robust edge or corner detection.

Parameters

• src: Input single-channel 8-bit or floating-point image.
• dst: Image to store the results. It has the same size as src and the type CV_32FC(6) .
• blockSize: Neighborhood size (see details below).
• ksize: Aperture parameter for the Sobel operator.
• borderType: Pixel extrapolation method. See #BorderTypes.

See also

cornerMinEigenVal, cornerHarris, preCornerDetect

C++ default parameters

• border_type: BORDER_DEFAULT