Calculates the normalized sum of squares of the pixel values overlapping the filter

dst = cv.sqrBoxFilter(src)
dst = cv.sqrBoxFilter(src, 'OptionName',optionValue, ...)

Input

• src input image.

Output

• dst output image of the same size as src and the type specified.

Options

• DDepth the output image depth (-1 to use class(src)). Default -1, which chooses between single or double (double if input image is also double, single otherwise). See cv.filter2D for details.
• KSize kernel size. Default [5,5]
• Anchor kernel anchor point [x,y]. The default value [-1,-1] denotes that the anchor is at the kernel center
• Normalize flag, specifying whether the kernel is normalized by its area or not. default true
• BorderType border mode used to extrapolate pixels outside of the image. See cv.copyMakeBorder. Default 'Default'

For every pixel (x,y) in the source image, the function calculates the sum of squares of those neighboring pixel values which overlap the filter placed over the pixel (x,y).

The unnormalized square box filter can be useful in computing local image statistics such as the the local variance and standard deviation around the neighborhood of a pixel.