April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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How it works...
In both of the preceding cases, the input image is projected onto the desired location of the output image.
A ProjectiveTransform object is needed to be created first to apply perspective transform to an image.
A set of 4-pixel positions from the source image and corresponding matching pixel positions in the destination image are needed to be passed to the estimate() function along with the object instance and this computes the homography matrix, H (and returns True if it can be computed).
The inverse() function is to be called on the object and this will give you the source pixel indices corresponding to all destination pixel indices.
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