[−][src]Function opencv::imgproc::pre_corner_detect

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

Calculates a feature map for corner detection.

The function calculates the complex spatial derivative-based function of the source image

$block formula$

where $inline formula$ , $inline formula$ are the first image derivatives, $inline formula$ , $inline formula$ are the second image derivatives, and $inline formula$ is the mixed derivative.

The corners can be found as local maximums of the functions, as shown below:

   Mat corners, dilated_corners;
   preCornerDetect(image, corners, 3);
   // dilation with 3x3 rectangular structuring element
   dilate(corners, dilated_corners, Mat(), 1);
   Mat corner_mask = corners == dilated_corners;

Parameters

src: Source single-channel 8-bit of floating-point image.
dst: Output image that has the type CV_32F and the same size as src .
ksize: %Aperture size of the Sobel .
borderType: Pixel extrapolation method. See #BorderTypes. #BORDER_WRAP is not supported.

C++ default parameters

border_type: BORDER_DEFAULT