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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

Implementing histogram matching

Histogram matching is an image processing task where an image is altered in such a way that its histogram matches the histogram of another reference (template) image's histogram. The algorithm is described as follows:

  1. Compute the cumulative histogram for each image.
  2. For any given pixel value, xi, in the input image, find the corresponding pixel value, xj, in the output image by matching the input image's histogram with the template image's histogram (G(xi)=H(xj), as shown in the following diagram.
  3. Replace pixel xi in the input with xj as shown in the following diagram:

In this recipe, we will implement histogram matching for colored images on our own.

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You have been reading a chapter from
Python Image Processing Cookbook
Published in: Apr 2020
Publisher: Packt
ISBN-13: 9781789537147
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