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)

Introducing the OpenCV user interface

OpenCV has its own cross-OS user interface that allows developers to create their own applications without the need to learn complex user interface libraries. The OpenCV user interface is basic, but it gives computer vision developers the basic functions to create and manage their software developments. All of them are native and optimized for real-time use.

OpenCV provides two user interface options:

  • A basic interface based on native user interfaces, cocoa or carbon for Mac OS X, and GTK for Linux or Windows user interfaces, selected by default when compiling OpenCV.
  • A slightly more advanced interface based on Qt library that is a cross-platform interface. You have to enable the Qt option manually in CMake before compiling OpenCV.

In the following screenshot, you can see the basic user interface window on the left, and the Qt user interface...