September 2014
Intermediate to advanced
512 pages
12h 39m
English
Content preview from IPython Interactive Computing and Visualization CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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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.
scikit-image provides several segmentation methods. In this recipe, we will demonstrate how to segment an image containing different objects.
How to do it...
- 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 ...
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