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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 (19) Chapters Close

Title Page
Dedication
Packt Upsell
Foreword
Contributors
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 1. Other Books You May Enjoy

Image and video handling in Qt


Qt uses several different classes to work image data, videos, cameras, and computer vision subjects. In this section, we are going to learn about them and also learn how to link between OpenCV and Qt classes, for a more flexible computer vision application development experience.

The QImage class

Perhaps the most important computer vision-related class in Qt, QImage is the main Qt class for handling image data and it provides pixel-level access to images, along with many other functions for working with image data. We are going to cover the most important subset of its and functionalities, especially the ones important when working with OpenCV.

QImage contains many different constructors which allow the creation of a QImage from files or raw image data, or an empty image to work with and manipulate its pixels. We can create an empty QImage class with a given size and format, as seen in the following example:

    QImage image(320, 240, QImage::Format_RGB888)...
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