Image Processing with Python:  Working with Entropy

Learn how to segregate object textures with Python using entropy function in Skimage. Learn how to use the function to effectively extract objects of interest in our image. Apart from segregating objects based on their colors, another way to segregate objects is via their textures.

Learn how to segregate object textures with Python using entropy function in Skimage

Apart from segregating objects based on their colors, another way to segregate objects is via their textures. To do this we can make use of the _entropy _function in Skimage. In this article we shall learn how to use the function to effectively extract objects of interest in our image.

Let’s begin!

As always, start by importing the required Python libraries.

import matplotlib.pyplot as plt
import numpy as np
from skimage.io import imread, imshow

from skimage import data
from skimage.util import img_as_ubyte
from skimage.filters.rank import entropy
from skimage.morphology import disk
from skimage.color import rgb2hsv, rgb2gray, rgb2yuv

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