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Python Image Processing Cookbook

You're reading from  Python Image Processing Cookbook

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

Table of Contents (11) Chapters close

Preface 1. Image Manipulation and Transformation 2. Image Enhancement 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

Morphological pattern matching

In this recipe, you will learn how to use the morphological compound operation, hit-or-miss-transform, to find patterns from a binary image. Hit-or-miss transform is a morphological operation that is used to detect a given pattern in a binary image. It uses a pair of disjointed structuring elements to define the pattern to be matched and the morphological erosion operator to implement the pattern matching. The hit-or-miss transform returns a binary image as output in which only those sets of positions are non-zero where the first SE matches and the second SE completely misses the foreground, respectively, in the input binary image.

Getting ready

In this recipe, we will use an image of a script...

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