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OpenCV 3 Computer Vision Application Programming Cookbook

You're reading from   OpenCV 3 Computer Vision Application Programming Cookbook Recipes to make your applications see

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786469717
Length 474 pages
Edition 3rd Edition
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Author (1):
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Robert Laganiere Robert Laganiere
Author Profile Icon Robert Laganiere
Robert Laganiere
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Table of Contents (21) Chapters Close

OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Playing with Images FREE CHAPTER 2. Manipulating Pixels 3. Processing the Colors of an Image 4. Counting the Pixels with Histograms 5. Transforming Images with Morphological Operations 6. Filtering the Images 7. Extracting Lines, Contours, and Components 8. Detecting Interest Points 9. Describing and Matching Interest Points 10. Estimating Projective Relations in Images 11. Reconstructing 3D Scenes 12. Processing Video Sequences 13. Tracking Visual Motion 14. Learning from Examples

Scanning an image with neighbor access


In image processing, it is common to have a processing function that computes a value at each pixel location based on the value of the neighboring pixels. When this neighborhood includes pixels of the previous and next lines, you then need to simultaneously scan several lines of the image. This recipe shows you how to do it.

Getting ready

To illustrate this recipe, we will apply a processing function that sharpens an image. It is based on the Laplacian operator (which will be discussed in Chapter 6 , Filtering the Images). It is indeed, a well-known result in image processing that if you subtract the Laplacian from an image, the image edges are amplified, thereby giving a sharper image.

This sharpened value is computed as follows:

    sharpened_pixel= 5*current-left-right-up-down; 

Here, left is the pixel that is immediately on the left-hand side of the current one, up is the corresponding one on the previous line, and so on.

How to do it...

This time...

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