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Computer Vision with OpenCV 3 and Qt5

You're reading from   Computer Vision with OpenCV 3 and Qt5 Build visually appealing, multithreaded, cross-platform computer vision applications

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788472395
Length 486 pages
Edition 1st Edition
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Author (1):
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Amin Ahmadi Tazehkandi Amin Ahmadi Tazehkandi
Author Profile Icon Amin Ahmadi Tazehkandi
Amin Ahmadi Tazehkandi
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Table of Contents (14) Chapters Close

Preface 1. Introduction to OpenCV and Qt 2. Creating Our First Qt and OpenCV Project FREE CHAPTER 3. Creating a Comprehensive Qt+OpenCV Project 4. Mat and QImage 5. The Graphics View Framework 6. Image Processing in OpenCV 7. Features and Descriptors 8. Multithreading 9. Video Analysis 10. Debugging and Testing 11. Linking and Deployment 12. Qt Quick Applications 13. Other Books You May Enjoy

Base of all algorithms – the Algorithm class


All algorithms in OpenCV, or better yet, at least the ones that are not too short and simple, are created as subclasses of the cv::Algorithm class. This class, as opposed to what you would normally expect, is not an abstract class, which means you can create instances of it, which simply do nothing. Even though this may be changed sometime in the future, it doesn't really affect the way we will access and use it. The way the cv::Algorithm class is used in OpenCV, and also the recommended way in case you want to create your own algorithms, is that first a subclass of cv::Algorithm that contains all required member functions for a specific purpose or goal gets created. Then, this newly created subclass can be again subclassed to create implementations of the same algorithm. To better understand this, let's first see the cv::Algorithm class in detail. Here's (roughly) how it looks if you take a peek at the OpenCV source codes:

    class Algorithm...
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