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OpenCV Essentials

You're reading from   OpenCV Essentials Acquire, process, and analyze visual content to build full-fledged imaging applications using OpenCV

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Product type Paperback
Published in Aug 2014
Publisher
ISBN-13 9781783984244
Length 214 pages
Edition 1st Edition
Tools
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Author (1):
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 Suarez Suarez
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Suarez
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Toc

Table of Contents (15) Chapters Close

OpenCV Essentials
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started FREE CHAPTER 2. Something We Look At – Graphical User Interfaces 3. First Things First – Image Processing 4. What's in the Image? Segmentation 5. Focusing on the Interesting 2D Features 6. Where's Wally? Object Detection 7. What Is He Doing? Motion 8. Advanced Topics Index

Summary


This chapter has covered the most common image processing methods used in computer vision. Image processing is often the step performed just before further computer vision applications. It has many methods and is usually applied for image corrections and enhancement such as image histograms, image equalization, brightness and contrast modeling, image color conversion by means of histogram matching and color space transformations, filtering using the model of the human retina, and arithmetic and geometrical transforms.

The next chapter will cover the next stage in a computer vision system, that is, the segmentation process. We will see how to extract regions of interest within an image.

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