Book Image

Qt 5 and OpenCV 4 Computer Vision Projects

By : Zhuo Qingliang
4 (1)
Book Image

Qt 5 and OpenCV 4 Computer Vision Projects

4 (1)
By: Zhuo Qingliang

Overview of this book

OpenCV and Qt have proven to be a winning combination for developing cross-platform computer vision applications. By leveraging their power, you can create robust applications with both an intuitive graphical user interface (GUI) and high-performance capabilities. This book will help you learn through a variety of real-world projects on image processing, face and text recognition, object detection, and high-performance computing. You’ll be able to progressively build on your skills by working on projects of increasing complexity. You’ll begin by creating an image viewer application, building a user interface from scratch by adding menus, performing actions based on key-presses, and applying other functions. As you progress, the book will guide you through using OpenCV image processing and modification functions to edit an image with filters and transformation features. In addition to this, you’ll explore the complex motion analysis and facial landmark detection algorithms, which you can use to build security and face detection applications. Finally, you’ll learn to use pretrained deep learning models in OpenCV and GPUs to filter images quickly. By the end of this book, you will have learned how to effectively develop full-fledged computer vision applications with OpenCV and Qt.
Table of Contents (11 chapters)

Summary

In this chapter, we remade the desktop application for image viewing that we built in Chapter 1, Building an Image Viewer, to make an image editor application. Then, we added a simple editing feature to blur images. At the same time, we learned about how to install and set up OpenCV for Qt applications, the data structures related to image processing both in Qt and OpenCV, and how to process images using OpenCV.

Afterward, we learned about the plugin mechanism of the Qt library and abstracted out a way to add editing features to our applications in a more flexible and convenient way as plugins. As an example of this, we wrote our first plugin to erode images.

Then, we moved our attention to the OpenCV library to discuss how to edit images like a prowe made numerous plugins to edit images, to sharpen images, to make cartoon effects, to rotate, to execute affine...