Book Image

Learn OpenCV 4 By Building Projects - Second Edition

By : David Millán Escrivá, Vinícius G. Mendonça, Prateek Joshi
Book Image

Learn OpenCV 4 By Building Projects - Second Edition

By: David Millán Escrivá, Vinícius G. Mendonça, Prateek Joshi

Overview of this book

OpenCV is one of the best open source libraries available, and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you’re completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects – Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects. You’ll begin with the installation of OpenCV and the basics of image processing. Then, you’ll cover user interfaces and get deeper into image processing. As you progress through the book, you'll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module. By the end of this book, you'll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and you'll have mastered commonly used computer vision techniques to build OpenCV projects from scratch.
Table of Contents (14 chapters)

Preface

OpenCV is one of the most popular libraries used to develop computer vision applications. It enables us to run many different computer vision algorithms in real time. It has been around for many years, and it has become the standard library in this field. One of the main advantages of OpenCV is that it is highly optimized and available on almost all platforms.

This book starts off by giving a brief introduction to the various fields in computer vision and the associated OpenCV functionalities in C++. Each chapter contains real-world examples and code samples to demonstrate the use cases. This helps you to easily grasp the topics and understand how they can be applied in real life. To sum up, this is a practical guide on how to use OpenCV in C++ and build various applications using this library.