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Learn OpenCV 4 by Building Projects
Learn OpenCV 4 by Building Projects

Learn OpenCV 4 by Building Projects: Build real-world computer vision and image processing applications with OpenCV and C++ , Second Edition

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Profile Icon Millán Escrivá Profile Icon Vinícius G. Mendonça Profile Icon Joshi
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₱1799.99 ₱2000.99
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.5 (2 Ratings)
eBook Nov 2018 310 pages 2nd Edition
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₱1799.99 ₱2000.99
Paperback
₱2500.99
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Arrow left icon
Profile Icon Millán Escrivá Profile Icon Vinícius G. Mendonça Profile Icon Joshi
Arrow right icon
₱1799.99 ₱2000.99
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.5 (2 Ratings)
eBook Nov 2018 310 pages 2nd Edition
eBook
₱1799.99 ₱2000.99
Paperback
₱2500.99
Subscription
Free Trial
eBook
₱1799.99 ₱2000.99
Paperback
₱2500.99
Subscription
Free Trial

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Learn OpenCV 4 by Building Projects

Getting Started with OpenCV

Computer vision applications are interesting and useful, but the underlying algorithms are computationally intensive. With the advent of cloud computing, we are getting more processing power to work with.

The OpenCV library enables us to run computer vision algorithms efficiently in real time. It has been around for many years, and has become the standard library in this field. One of the main advantages of OpenCV is that it is highly optimized, and available on almost all platforms.

This book will cover the various algorithms we will be using, why we are using them, and how to implement them in OpenCV.

In this chapter, we are going to learn how to install OpenCV on various operating systems. We will discuss what OpenCV offers out of the box, and the various things that we can do using the inbuilt functions.

By the end of this chapter, you will be able to answer the following questions:

  • How do humans process visual data, and how do they understand image content?
  • What can we do with OpenCV, and what are the various modules available in OpenCV that can be used to achieve those things?
  • How do we install OpenCV on Windows, Linux, and Mac OS X?
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Key benefits

  • 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

Description

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.

Who is this book for?

If 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.

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

Product Details

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Publication date : Nov 30, 2018
Length: 310 pages
Edition : 2nd
Language : English
ISBN-13 : 9781789347623
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Publication date : Nov 30, 2018
Length: 310 pages
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Language : English
ISBN-13 : 9781789347623
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Table of Contents

13 Chapters
Getting Started with OpenCV Chevron down icon Chevron up icon
An Introduction to the Basics of OpenCV Chevron down icon Chevron up icon
Learning Graphical User Interfaces Chevron down icon Chevron up icon
Delving into Histogram and Filters Chevron down icon Chevron up icon
Automated Optical Inspection, Object Segmentation, and Detection Chevron down icon Chevron up icon
Learning Object Classification Chevron down icon Chevron up icon
Detecting Face Parts and Overlaying Masks Chevron down icon Chevron up icon
Video Surveillance, Background Modeling, and Morphological Operations Chevron down icon Chevron up icon
Learning Object Tracking Chevron down icon Chevron up icon
Developing Segmentation Algorithms for Text Recognition Chevron down icon Chevron up icon
Text Recognition with Tesseract Chevron down icon Chevron up icon
Deep Learning with OpenCV Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.5
(2 Ratings)
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4 star 50%
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1 star 50%
Kohei Yoshida Apr 24, 2019
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
I'm almost finishing up this book, and I think I have seen enough to give it a review. I'm new to OpenCV but I'm pretty experienced with CMake, and I built OpenCV directly from its source from its github repo in order to follow this book. So, I can't comment on the quality and accuracy of the installation guide in this book since I skipped that part.The rest of the book's content is quite decent, and gave me a very good overview of what sort of functionality is provided by OpenCV. I've noticed some minor errors in the example codes, but nothing that some debugging can't resolve.I also recommend you follow this book on Linux if you have that option. You need access to a webcam since many of the examples do make use of video feeds from camera.I'm also planning on buying a copy of Mastering OpenCV 4 after I finish this book, to further deepen my knowledge of OpenCV.
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Bad Review Apr 01, 2019
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1
Installation guide is not useful. Either it is not updated or incomplete. Some libraries on the dependencies are no longer there.
Amazon Verified review Amazon
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