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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


Mathematical morphology is a theory that was developed in the 1960s for the analysis and processing of discrete images. It defines a series of operators that transform an image by probing it with a predefined shape element. The way this shape element intersects the neighborhood of a pixel determines the result of the operation. This chapter presents the most important morphological operators. It also explores the problems of image segmentation and feature detection using algorithms based on morphological operators.

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