Calculates the first x- or y- image derivative using Scharr operator

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

Input

• src input image.

Output

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

Options

• XOrder Order of the derivative x. default 1
• YOrder Order of the derivative y. default 0
• Scale Optional scale factor for the computed Laplacian values. By default, no scaling is applied (see cv.getDerivKernels for details). default 1
• Delta Optional delta value that is added to the results prior to storing them in dst. default 0
• BorderType Pixel extrapolation method, see cv.copyMakeBorder. Default 'Default'
• DDepth output image depth. default -1. When DDepth=-1, the output image will have the same depth as the source. The following combinations are supported:
  • SDepth = 'uint8' --> DDepth = -1, 'int16', 'single', 'double'
  • SDepth = 'uint16', 'int16' --> DDepth = -1, 'single', 'double'
  • SDepth = 'single' --> DDepth = -1, 'single', 'double'
  • SDepth = 'double' --> DDepth = -1, 'double'

The function computes the first x- or y- spatial image derivative using the Scharr operator.

The call:

dst = cv.Scharr(src, 'DDepth',ddepth, 'XOrder',dx, 'YOrder',dy, ...
    'Scale',scale, 'Delta',delta, 'BorderType',borderType)

is equivalent to:

dst = cv.Sobel(src, 'DDepth',ddepth, 'XOrder',dx, 'YOrder',dy, ...
    'KSize','Scharr', ...
    'Scale',scale, 'Delta',delta, 'BorderType',borderType)