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.
OpenCV Computer Vision Application Programming Cookbook Second Edition
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OpenCV Computer Vision Application Programming Cookbook Second Edition
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Overview of this book
Table of Contents (18 chapters)
OpenCV Computer Vision Application Programming Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
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
Customer Reviews