Book Image

OpenCV By Example

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

OpenCV By Example

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

Overview of this book

Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects. Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch. By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition.
Table of Contents (18 chapters)
OpenCV By Example
About the Authors
About the Reviewers

Chapter 2. An Introduction to the Basics of OpenCV

After covering the installation of OpenCV on different operating systems in Chapter 1, Getting Started with OpenCV, we are going to introduce the basics of OpenCV development in this chapter.

In this chapter, you will learn how to create your project using CMake.

We will also introduce the image basic data structures, matrices, and other structures that are required in our projects.

We will learn how to save our variables and data in files using the XML/YAML persistence OpenCV functions.

In this chapter, we will cover the following topics:

  • Configuring projects with CMake

  • Reading/writing images from/to disk

  • Reading videos and accessing camera devices

  • The main image structures (matrices)

  • Other important and basic structures (vectors, scalars, and so on)

  • An introduction to basic matrix operations

  • File storage operations with the XML/YAML persistence OpenCV API