Finds edges in an image using the Canny algorithm with custom image gradient

edges = cv.Canny2(dx, dy, thresh)
edges = cv.Canny2(dx, dy, thresh, 'OptionName', optionValue, ...)

Input

• dx 16-bit x derivative of input image (1 or 3 channels of type int16).
• dy 16-bit y derivative of input image (same size and type as dx).
• thresh Threshold for the hysteresis procedure. Scalar or 2-element vector [low_thresh,high_thresh].

Output

• edges Output edge map; single channels 8-bit image, which has the same size as the input image.

Options

• L2Gradient Flag indicating whether a more accurate L2 norm sqrt((dI/dx)^2 + (dI/dy)^2) should be used to compute the image gradient magnitude (L2gradient=true), or whether the default L1 norm abs(dI/dx) + abs(dI/dy) is enough (L2gradient=false). Default false