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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

Binary Image Processing

Morphological image processing refers to the application of a set of non-linear operation(s) that is related to the shape (that is, morphology) of image features. These operations are particularly suited to the processing of binary images (where pixels are represented as 0 or 1 and, by convention, the foreground of the object = 1 or white, and the background = 0 or black) since they don't depend on the exact numerical values of the pixels; rather, they depend only on how the pixel values are relatively ordered—although these operations can be extended to grayscale images.

Hence, in this chapter, we will discuss binary image processing with morphological operations, although a few grayscale morphological operations will also be discussed, for the sake of completeness. In morphological operations, a structuring element (a small template image...

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