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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 one of the most important subjects in computer vision. Segmentation is often one of the first steps, and also, it is typically one of the trickiest. In this chapter, we have provided the reader with insight and samples to use the most useful segmentation methods in OpenCV, such as thresholding, contours and connected components, flood filling of regions, the watershed segmentation method, and the GrabCut method.

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