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)

Getting Started with OpenCV

Computer vision applications are interesting and useful, but the underlying algorithms are computationally intensive. With the advent of cloud computing, we are getting more processing power to work with.

The OpenCV library enables us to run computer vision algorithms efficiently in real time. It has been around for many years, and 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 will cover the various algorithms we will be using, why we are using them, and how to implement them in OpenCV.

In this chapter, we are going to learn how to install OpenCV on various operating systems. We will discuss what OpenCV offers out of the box, and the various things that we can do using the inbuilt functions.

By the end of this chapter, you will be able to answer the following questions:

  • How do humans process visual data, and how do they understand image content?
  • What can we do with OpenCV, and what are the various modules available in OpenCV that can be used to achieve those things?
  • How do we install OpenCV on Windows, Linux, and Mac OS X?