Image segmentation consists of partitioning an image into different regions that share certain characteristics. This is a fundamental task in computer vision, facial recognition, and medical imaging. For example, an image segmentation algorithm can automatically detect the contours of an organ in a medical image.
scikit-image provides several segmentation methods. In this recipe, we will demonstrate how to segment an image containing different objects.
Let's import the packages:
In [1]: import numpy as np import matplotlib.pyplot as plt from skimage.data import coins from skimage.filter import threshold_otsu from skimage.segmentation import clear_border from skimage.morphology import closing, square from skimage.measure import regionprops, label from skimage.color import lab2rgb %matplotlib inlineWe create a function that displays a grayscale image:
In [2]: def show(img, cmap=None): ...