April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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How it works...
The cv2.inpaint() function is used for inpainting the missing parts of the cat's image. The parameters this function accepts are the following:
- The source image
- The binary inpaint mask indicating pixels to be inpainted
- The neighborhood radius around a pixel to be inpainted (for thin inpainted regions, a smaller radius leads to less blurry results)
- The inpainting algorithm as flags—cv2.INPAINT_NS (a Navier-Stokes-based method) or cv2.INPAINT_TELEA (a method based on the fast marching algorithm)
cv2.INPAINT_NS uses a Navier-Stokes-based inpainting algorithm that imposes the following two constraints:
- Preserving gradients (that is, features such as edges)
- Propagating color to smooth regions
The pixel intensities inside the ...
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