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

Summary


We are now familiar with some of the most widely used functions, enums, and classes in the OpenCV framework. Most of the skills you learned in this chapter are used almost in every computer vision application, one way or another. Starting from image filtering, which is one of the most initial steps in a computer vision process, up until image transformation methods and color space conversion, every computer vision application needs to have access to these methods, either to be able to perform a specific task or to optimize its performance in some way. In this chapter, you learned all about image filtering and geometric transformations. You learned how to use functions such as remap to perform countless image transformations. You also learned about color spaces and how to convert them to each other. Later on, we even used color mapping functions to map colors in an image to another set of colors. Then, you learned about image thresholding and how to extract parts of an image with...