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Python Image Processing Cookbook

You're reading from   Python Image Processing Cookbook Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781789537147
Length 438 pages
Edition 1st Edition
Languages
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Author (1):
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Sandipan Dey Sandipan Dey
Author Profile Icon Sandipan Dey
Sandipan Dey
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Toc

Table of Contents (11) Chapters Close

Preface 1. Image Manipulation and Transformation 2. Image Enhancement FREE CHAPTER 3. Image Restoration 4. Binary Image Processing 5. Image Registration 6. Image Segmentation 7. Image Classification 8. Object Detection in Images 9. Face Recognition, Image Captioning, and More 10. Other Books You May Enjoy

Segmenting images with morphology

Image segmentation is the partitioning of an image into distinct regions or categories that correspond to different objects or parts of objects. In this recipe, you will learn how to use a region-based segmentation method to a binary image using the morphological watershed algorithm. We can think of a grayscale image as a topographic surface. If we flood this surface from its minimum values and prevent the merging of waters from different sources, then the image gets partitioned into two different sets, namely, the catchment basins (segments) and the watershed lines. To prevent over-segmentation, a pre-defined set of markers is used and the flooding of the surface starts from these markers. The following are the steps involved in the segmentation of an image by the watershed transformation:

  1. Find the markers and the segmentation criterion (the...
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