Segmenting an image

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.

The scikit-image provides several segmentation methods. In this recipe, we will demonstrate how to segment an image containing different objects. This recipe is inspired by a scikit-image example available at http://scikit-image.org/docs/dev/user_guide/tutorial_segmentation.html

How to do it...

1. Let's import the packages:

   >>> import numpy as np
       import matplotlib.pyplot as plt
       from skimage.data import coins
       from skimage.filters import threshold_otsu
       from skimage.segmentation import clear_border
       from skimage.morphology import label, closing, square
       from skimage.measure import regionprops
       from skimage.color import lab2rgb
       %matplotlib...