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Table Of Contents

Learn OpenCV 4 by Building Projects - Second Edition

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

2.5 (2)

Buy this Book

Learn OpenCV 4 by Building Projects

2.5 (2)

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

Buy this Book

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.

Preface

Who this book is for

What this book covers

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Free Chapter

Getting Started with OpenCV

Understanding the human visual system

How do humans understand image content?

What can you do with OpenCV?

Installing OpenCV

Summary

An Introduction to the Basics of OpenCV

Technical requirements

Basic CMake configuration file

Creating a library

Managing dependencies

Making the script more complex

Images and matrices

Reading/writing images

Reading videos and cameras

Other basic object types

Basic matrix operations

Basic data persistence and storage

Summary

Learning Graphical User Interfaces

Technical requirements

Introducing the OpenCV user interface

Basic graphical user interface with OpenCV

Graphic user interface with Qt

OpenGL support

Summary

Delving into Histogram and Filters

Technical requirements

Generating a CMake script file

Creating the graphical user interface

Drawing a histogram

Image color equalization

Lomography effect

Cartoonize effect

Summary

Automated Optical Inspection, Object Segmentation, and Detection

Technical requirements

Isolating objects in a scene

Creating an application for AOI

Preprocessing the input image

Segmenting our input image

Summary

Learning Object Classification

Technical requirements

Introducing machine learning concepts

Computer vision and the machine learning workflow

Automatic object inspection classification example

Summary

Detecting Face Parts and Overlaying Masks

Technical requirements

Understanding Haar cascades

What are integral images?

Overlaying a face mask in a live video

Get your sunglasses on

Tracking the nose, mouth, and ears

Summary

Video Surveillance, Background Modeling, and Morphological Operations

Technical requirements

Understanding background subtraction

Naive background subtraction

Frame differencing

The Mixture of Gaussians approach

Morphological image processing

Slimming the shapes

Thickening the shapes

Other morphological operators

Summary

Learning Object Tracking

Technical requirements

Tracking objects of a specific color

Building an interactive object tracker

Detecting points using the Harris corner detector

Good features to track

Feature-based tracking

Summary

Developing Segmentation Algorithms for Text Recognition

Technical requirements

Introducing optical character recognition

Preprocessing stage

Installing Tesseract OCR on your operating system

Using the Tesseract OCR library

Summary

Text Recognition with Tesseract

Technical requirements

How the text API works

Using the text API

Summary

Deep Learning with OpenCV

Technical requirements

Introduction to deep learning

Deep learning in OpenCV

YOLO – real-time object detection

Face detection with SSD

Summary

An Introduction to the Basics of OpenCV

After covering OpenCV installation on different operating systems in Chapter 1, Getting Started with OpenCV, we are going to introduce the basics of OpenCV development in this chapter. It begins with showing how to create our project using CMake. We are going to introduce the basic image data structures and matrices, along with other structures that are required to work in our projects. We are going to introduce how to save our variables and data into files using the XML/YAML persistence OpenCV functions.

In this chapter, we will cover the following topics: