Python Image Processing Cookbook

How it works...

As explained earlier, the bilateralFilter(), medianBlur(), adaptiveThreshold(), and bitwise_and() functions from OpenCV-Python were the key functions used to first remove weak edges, then convert into flat texture, and finally enhance the prominent edges in the image.

The bilateralFilter() function from OpenCV-Python was used to smooth the textures while keeping the edges fairly sharp:

• The higher the value of the sigmaColor parameter, the more the pixel colors in the neighborhood will be mixed together. This will produce larger areas of semi-equal color in the output image.
• The higher the value of the sigmaSpace parameter, the more the pixels with similar colors will influence each other.

The image was downsampled to create ...