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.

Preface

Who this book is for

What this book covers

To get the most out of this book

Free Chapter

Getting Started with OpenCV

Getting Started with OpenCV

Understanding the human visual system

How do humans understand image content?

What can you do with OpenCV?

Installing OpenCV

An Introduction to the Basics of OpenCV

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

Learning Graphical User Interfaces

Learning Graphical User Interfaces

Technical requirements

Introducing the OpenCV user interface

Basic graphical user interface with OpenCV

Graphic user interface with Qt

Delving into Histogram and Filters

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

Automated Optical Inspection, Object Segmentation, and Detection

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

Learning Object Classification

Learning Object Classification

Technical requirements

Introducing machine learning concepts

Computer vision and the machine learning workflow

Automatic object inspection classification example

Detecting Face Parts and Overlaying Masks

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

Video Surveillance, Background Modeling, and Morphological Operations

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

Learning Object Tracking

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

Developing Segmentation Algorithms for Text Recognition

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

Text Recognition with Tesseract

Text Recognition with Tesseract

Technical requirements

How the text API works

Using the text API

Deep Learning with OpenCV

Deep Learning with OpenCV

Technical requirements

Introduction to deep learning

Deep learning in OpenCV

YOLO – real-time object detection

Face detection with SSD

Further reading

Other Books You May Enjoy

Other Books You May Enjoy

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