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OpenCV 4 Computer Vision Application Programming Cookbook - Fourth Edition

You're reading from  OpenCV 4 Computer Vision Application Programming Cookbook - Fourth Edition

Product type Book
Published in May 2019
Publisher Packt
ISBN-13 9781789340723
Pages 494 pages
Edition 4th Edition
Languages
Authors (2):
David Millán Escrivá David Millán Escrivá
Profile icon David Millán Escrivá
Robert Laganiere Robert Laganiere
Profile icon Robert Laganiere
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Table of Contents (17) Chapters

Preface Playing with Images Manipulating the 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 Reconstructing 3D Scenes Processing Video Sequences Tracking Visual Motion Learning from Examples OpenCV Advanced Features Other Books You May Enjoy

Segmenting an image with the GrabCut algorithm

The previous recipe showed how color information can be useful to segment an image into an area corresponding to specific elements of a scene. Objects often have distinctive colors, and these ones can often be extracted by identifying areas of similar colors. OpenCV proposes an implementation of a popular algorithm for image segmentation—the GrabCut algorithm. GrabCut is a complex and computationally expensive algorithm, but it generally produces very accurate results. It is the best algorithm to use when you want to extract a foreground object in a still image (for example, to cut and paste an object from one picture to another).

How to do it...

The cv::grabCut function...

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