April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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How to do it...
Go through the following steps to implement the thresholding algorithms using mahotas:
- First, read the image and use the mahotas library functions to obtain the optimum thresholds for the input grayscale image using the following code snippet. As you can see, the thresholds obtained with the two aforementioned algorithms are pretty close to each other for the given input image:
image = mh.imread('images/netaji.png')thresh_otsu, thresh_rc = mh.otsu(image), mh.rc(image)print(thresh_otsu, thresh_rc)# 161 161.5062276206947
- Perform the binary segmentation of the input image using the optimum thresholds obtained for the pixel values. You will obtain two different binary output images, corresponding to the algorithms:
binary_otsu, ...
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