OpenCV Computer Vision Application Programming Cookbook, 2nd Edition

Over 50 recipes to help you build computer vision applications in C++ using the OpenCV library

About This Book

• Master OpenCV, the open source library of the computer vision community
• Master fundamental concepts in computer vision and image processing
• Learn the important classes and functions of OpenCV with complete working examples applied on real images

Who This Book Is For

OpenCV 3 Computer Vision Application Programming Cookbook is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers wishing to be introduced to the concepts of computer vision programming. It can also be used as a companion book in a university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision.

In Detail

OpenCV Computer Vision Application Programming Cookbook Second Edition is your guide to the development of computer vision applications.

The book shows you how to install and deploy the OpenCV library to write an effective computer vision application. Different techniques for image enhancement, pixel manipulation, and shape analysis will be presented. You will also learn how to process video from files or cameras and detect and track moving objects. You will also be introduced to recent approaches in machine learning and object classification.

This book is a comprehensive reference guide that exposes you to practical and fundamental computer vision concepts, illustrated by extensive examples.

Table of Contents

Chapter 1. Playing with Images
Chapter 2. Manipulating Pixels
Chapter 3. Processing Color Images with Classes
Chapter 4. Counting the Pixels with Histograms
Chapter 5. Transforming Images with Morphological Operations
Chapter 6. Filtering the Images
Chapter 7. Extracting Lines, Contours, and Components
Chapter 8. Detecting Interest Points
Chapter 9. Describing and Matching Interest Points
Chapter 10. Estimating Projective Relations in Images
Chapter 11. Processing Video Sequences