- ホーム
- > 洋書
- > 英文書
- > Computer / General
Full Description
Explore OpenCV 4 to create visually appealing cross-platform computer vision applications
Key Features
Understand basic OpenCV 4 concepts and algorithms
Grasp advanced OpenCV techniques such as 3D reconstruction, machine learning, and artificial neural networks
Work with Tesseract OCR, an open-source library to recognize text in images
Book DescriptionOpenCV 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.
What you will learn
Install OpenCV 4 on your operating system
Create CMake scripts to compile your C++ application
Understand basic image matrix formats and filters
Explore segmentation and feature extraction techniques
Remove backgrounds from static scenes to identify moving objects for surveillance
Employ various techniques to track objects in a live video
Work with new OpenCV functions for text detection and recognition with Tesseract
Get acquainted with important deep learning tools for image classification
Who this book is forIf you are a software developer with a basic understanding of computer vision and image processing and want to develop interesting computer vision applications with OpenCV, Learn OpenCV 4 by Building Projects for you. Prior knowledge of C++ will help you understand the concepts covered in this book.
Contents
Table of Contents
Getting started with OpenCV
An introduction to the basics of OpenCV
Learning graphical user interfaces
Delving into histrograms and filters
Automated optical inspection, object segmentation and detection
Learning object classification
Detecting face parts and overlaying masks
Video surveillance, background modeling, and morphological operations
Learning object tracking
Developing segmentation algorithms for text recognition
Text recognition with Tesseract
Deep Learning with OpenCV
