Applies a separable linear filter to an image

dst = cv.sepFilter2D(src, kernelX, kernelY)
dst = cv.sepFilter2D(..., 'OptionName',optionValue, ...)

Input

• src Source image.
• kernelX Coefficients for filtering each row.
• kernelY Coefficients for filtering each column.

Output

• dst Destination image of the same size and the same number of channels as src.

Options

• Anchor Anchor position within the kernel. The default value (-1,-1) means that the anchor is at the kernel center.
• Delta Value added to the filtered results before storing them. default 0
• BorderType Pixel extrapolation method. default 'Default'
• DDepth Destination image depth, see cv.filter2D. default -1

The function applies a separable linear filter to the image. That is, first, every row of src is filtered with the 1D kernel kernelX. Then, every column of the result is filtered with the 1D kernel kernelY. The final result shifted by delta is stored in dst.