Book Image

Computer Vision with OpenCV 3 and Qt5

By : Amin Ahmadi Tazehkandi
4 (1)
Book Image

Computer Vision with OpenCV 3 and Qt5

4 (1)
By: Amin Ahmadi Tazehkandi

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 (19 chapters)
Title Page
Dedication
Packt Upsell
Foreword
Contributors
Preface

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)...