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OpenCV Computer Vision Application Programming Cookbook Second Edition

You're reading from  OpenCV Computer Vision Application Programming Cookbook Second Edition

Product type Book
Published in Aug 2014
Publisher Packt
ISBN-13 9781782161486
Pages 374 pages
Edition 1st Edition
Languages
Author (1):
Robert Laganiere Robert Laganiere
Profile icon Robert Laganiere

Table of Contents (18) Chapters

OpenCV Computer Vision Application Programming Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Playing with Images Manipulating Pixels Processing Color Images with Classes Counting the Pixels with Histograms Transforming Images with Morphological Operations Filtering the Images Extracting Lines, Contours, and Components Detecting Interest Points Describing and Matching Interest Points Estimating Projective Relations in Images Processing Video Sequences Index

Introduction


In order to perform content-based analysis of an image, it is necessary to extract meaningful features from the collection of pixels that constitute the image. Contours, lines, blobs, and so on, are fundamental image primitives that can be used to describe the elements contained in an image. This chapter will teach you how to extract some of these important image features.

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