ML: Auto segmentation using multi-otsu

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# Auto segmentation using multi-otsu, https://www.youtube.com/watch?v=YdhhiXDQDl4&list=PLZsOBAyNTZwYx-7GylDo3LSYpSompzsqW&index=36 # https://github.com/bnsreenu/python_for_microscopists/blob/master/115_auto_segmentation_using_multiotsu.py import matplotlib.pyplot as plt import numpy as np from skimage import data, io, img_as_ubyte from skimage.filters import threshold_multiotsu from skimage.color import rgb2gray # Read an image image=io.imread("D:/Mask/IMG_0252.JPG") image=rgb2gray(image) # image=Image.open("D:/Mask/IMG_0252.JPG").convert('L') # Apply multi-Otsu threshold thresholds=threshold_multiotsu(image, classes=2) # Digitize (segment) original image into multiple classes # np.digitize assign values 0, 1, 2, 3, ... to pixels in each class regions=np.digitize(image, bins=thresholds) output=img_as_ubyte(regions) plt.imsave("D:/Mask/otsu_segment.jpg", output)