It always starts with an unprocessed and raw image, taken with a smartphone, webcam, DSLR camera, or, in short, any device that is capable of shooting and recording image data. However, it usually ends with sharp or blurred; bright, dark, or balanced; black and white or colored; and many other different representations of the same image data. This is probably the initial step (and one of the most important steps) in computer vision algorithms, and it's usually referred to as Image Processing (for now, let's forget about the fact that, sometimes, computer vision and Image Processing are used interchangeably; this is a discussion for history experts). Of course, you can have image processing in between or in the final phases of any computer vision process, but, in general, any photo or video recorded with most of the existing devices undergoes...
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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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