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 different implementations of the same algorithm. To better understand this, let...
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Computer Vision with OpenCV 3 and Qt5
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Computer Vision with OpenCV 3 and Qt5
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Overview of this book
Developers have been using OpenCV library to develop computer vision applications for a long time. However, they now need a more effective tool to get the job done and in a much better and modern way. Qt is one of the major frameworks available for this task at the moment.
This book will teach you to develop applications with the combination of OpenCV 3 and Qt5, and how to create cross-platform computer vision applications. We’ll begin by introducing Qt, its IDE, and its SDK. Next you’ll learn how to use the OpenCV API to integrate both tools, and see how to configure Qt to use OpenCV. You’ll go on to build a full-fledged computer vision application throughout the book.
Later, you’ll create a stunning UI application using the Qt widgets technology, where you’ll display the images after they are processed in an efficient way. At the end of the book, you’ll learn how to convert OpenCV Mat to Qt QImage. You’ll also see how to efficiently process images to filter them, transform them, detect or track objects as well as analyze video. You’ll become better at developing OpenCV applications.
Table of Contents (14 chapters)
Preface
Free Chapter
Introduction to OpenCV and Qt
Creating Our First Qt and OpenCV Project
Creating a Comprehensive Qt+OpenCV Project
Mat and QImage
The Graphics View Framework
Image Processing in OpenCV
Features and Descriptors
Multithreading
Video Analysis
Debugging and Testing
Linking and Deployment
Qt Quick Applications
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