April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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How it works
To morph a source image, IS, into a destination image, ID, first, the pixel correspondence between the two images needs to be established. For every pixel in image IS, the corresponding pixel in image ID is to be found. Once these correspondences are found, the images can be blended in two steps:
- Compute the location of the pixel in the morphed image (it was computed using the weighted_average_points() function).
- Compute the intensity of the pixel at that location in the morphed image (it was computed using the weighted_average() function).
It's very computationally expensive to find a corresponding pixel in destination image for every pixel in the source image and it isn't really necessary; instead, a handful of control points ...
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