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OpenCV 3 Computer Vision Application Programming Cookbook

You're reading from   OpenCV 3 Computer Vision Application Programming Cookbook Recipes to make your applications see

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786469717
Length 474 pages
Edition 3rd Edition
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Author (1):
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Robert Laganiere Robert Laganiere
Author Profile Icon Robert Laganiere
Robert Laganiere
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Table of Contents (15) Chapters Close

Preface 1. Playing with Images FREE CHAPTER 2. Manipulating Pixels 3. Processing the Colors of an Image 4. Counting the Pixels with Histograms 5. Transforming Images with Morphological Operations 6. Filtering the Images 7. Extracting Lines, Contours, and Components 8. Detecting Interest Points 9. Describing and Matching Interest Points 10. Estimating Projective Relations in Images 11. Reconstructing 3D Scenes 12. Processing Video Sequences 13. Tracking Visual Motion 14. Learning from Examples

Opening and closing images using morphological filters


The previous recipe introduced you to the two fundamental morphological operators: dilation and erosion. From these, other operators can be defined. The next two recipes will present some of them. The opening and closing operators are presented in this recipe.

How to do it...

In order to apply higher-level morphological filters, you need to use the cv::morphologyEx function with the appropriate function code. For example, the following call will apply the closing operator:

    // Close the image 
    cv::Mat element5(5,5,CV_8U,cv::Scalar(1)); 
    cv::Mat closed; 
    cv::morphologyEx(image,closed,    // input and output images 
                     cv::MORPH_CLOSE, // operator code 
                     element5);       // structuring element 

Note that we used a 5x5 structuring element to make the effect of the filter more apparent. If we use the binary image of the preceding recipe as input, we will obtain...

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