Texture Flattening

dst = cv.textureFlattening(src, mask)
dst = cv.textureFlattening(src, mask, 'OptionName',optionValue, ...)

Input

• src Input 8-bit 3-channel image.
• mask Input 8-bit 1 or 3-channel image.

Output

• dst Output image with the same size and type as src.

Options

• LowThreshold Range from 0 to 100. default 30
• HighThreshold Value > 100. default 45
• KernelSize The size of the Sobel kernel to be used. default 3
• FlipChannels whether to flip the order of color channels in inputs src and mask and output dst, between MATLAB's RGB order and OpenCV's BGR (input: RGB->BGR, output: BGR->RGB). default false

By retaining only the gradients at edge locations, before integrating with the Poisson solver, one washes out the texture of the selected region, giving its contents a flat aspect. Here Canny Edge Detector is used.

Note

The algorithm assumes that the color of the source image is close to that of the destination. This assumption means that when the colors don't match, the source image color gets tinted toward the color of the destination image.