OpenCV By Example: Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3

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Key benefits

*Get to grips with the basics of Computer Vision and image processing

*This is a step-by-step guide to developing several real-world Computer Vision projects using OpenCV 3

*This book takes a special focus on working with Tesseract OCR, a free, open-source library to recognize text in images

Description

Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects. Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch. By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition.

What you will learn

* Install OpenCV 3 on your operating system

* Create the required CMake scripts to compile the C++ application and manage its dependencies

* Get to grips with the Computer Vision workflows and understand the basic image matrix format and filters

* Understand the segmentation and feature extraction techniques

* Remove backgrounds from a static scene to identify moving objects for video surveillance

* Track different objects in a live video using various techniques

* Use the new OpenCV functions for text detection and recognition with Tesseract

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

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Placeholder Apr 27, 2017

This is a good book for beginners to explore both - OpenCV and Image Processing. I am a 9 years experienced .Net developer but I had no working knowledge of OpenCV - this book helped me a lot.

Amazon Verified review

Amazon Customer Mar 15, 2016

I had the opportunity to review the book "OpenCV by Example" written by Prateek Joshi, David Millan Escriva and Vinicius Godoy for Packt Publishing. The books helps you to integrate OpenCV 3 into your projects in the beginning by providing step by step instructions but also provides detailed background infor mations on various areas of computer vision. If you need to digg even deeper you also get links to the original scientific research papers. the areas covered range from computer vision basics like filtering or image manipulation to complex areas like object tracking or text recognition. So if you need to add vision to your robotics project, mobile application, media art project, desktop application, ... and always wondered how to do it this is a book you should read.

Sandy Feb 09, 2017

Good book for beginner & excellent code & example.Book print quality is good,But why Images are Black & White, it should be in colors.

Pourya Hoseini Dec 10, 2016

Useful book to get an initial hands on how OpenCV works, and how are its data types used.

Keith Sloan Sep 26, 2016

Do not buy this book . The example install information does not work and to get support you have to buy from packtpub.

OpenCV By Example: Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3

What do you get with eBook?