April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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How it works...
Thresholding functions have a trivial interface in mahotas: they take an image and return a value.
The otsu() function was used to compute the optimum Otsu threshold for the input image.
Similarly, the rc() function was used to compute the Riddler–Calvard threshold for the given input image.
Finally, on running the code blocks, you will get a figure like the following as your output:
All the pixels with values less than or equal to the optimum threshold are assigned a value of zero (black foreground object) and those with values above it are assigned a value of one (white background), in order to obtain the output binary image ...
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