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OpenCV 3 Computer Vision Application Programming Cookbook

OpenCV 3 Computer Vision Application Programming Cookbook

By : Robert Laganiere
3.5 (2)
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OpenCV 3 Computer Vision Application Programming Cookbook

OpenCV 3 Computer Vision Application Programming Cookbook

3.5 (2)
By: Robert Laganiere

Overview of this book

Making your applications see has never been easier with OpenCV. With it, you can teach your robot how to follow your cat, write a program to correctly identify the members of One Direction, or even help you find the right colors for your redecoration. OpenCV 3 Computer Vision Application Programming Cookbook Third Edition provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be presented with a variety of computer vision algorithms and exposed to important concepts in image and video analysis that will enable you to build your own computer vision applications. This book helps you to get started with the library, and shows you how to install and deploy the OpenCV library to write effective computer vision applications following good programming practices. You will learn how to read and write images and manipulate their pixels. Different techniques for image enhancement and shape analysis will be presented. You will learn how to detect specific image features such as lines, circles or corners. You will be introduced to the concepts of mathematical morphology and image filtering. The most recent methods for image matching and object recognition are described, and you’ll discover how to process video from files or cameras, as well as how to detect and track moving objects. Techniques to achieve camera calibration and perform multiple-view analysis will also be explained. Finally, you’ll also get acquainted with recent approaches in machine learning and object classification.
Table of Contents (15 chapters)
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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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