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Shin Shin - Emgu CV Essentials

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Shin Shin Emgu CV Essentials
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Develop your own computer vision application using the power of Emgu CV

Overview

  • Packed with clear explanations and examples of how to deal with computer vision problems in Emgu CV
  • Learn the main features of Emgu CV from the basics to more advanced techniques
  • Each chapter covers a different computer vision application and teaches developers how to implement it using EmguCV

In Detail

Computer vision is an up and coming field within the field of Computer Science that combines image processing with machine learning. Emgu CV is a cross-platform library that can be used to practically explore really interesting features from image capturing to character recognition.

Emgu CV Essentials is a practical guide to the Emgu CV library, a .Net wrapper for the OpenCV image processing library. The main features and code samples are explained in order to give a better understanding of Emgu CV, with a wide variety of topics covered, from working with images and shape detection to creating a panorama from a series of images.

Learn the basics of Emgu CV, from creating your first project to covering the main areas of the computer vision field, with Emgu CV Essentials. Each chapter presents a separate project to the reader, and provides the background knowledge necessary to understand how the examples work. Learn how to start with EmguCV and try practical computer vision projects, or go straight to the topics you are most interested in, such as image processing, shape detection, face detection, optical character recognition, and more.

Emgu CV Essentials gives you the chance to explore the main areas of computer vision with helpful projects.

What you will learn from this book

  • Install Emgu CV across multiple platforms
  • Understand the advantages of Emgu CV, and generate a Hello World computer vision project
  • Harness the power of Emgu CV methods to perform shape detection
  • Work on matrices and images using Emgu CV methods
  • Perform face and eye detection with Haar Classifier
  • Implement license plate detection and optical character recognition using OCR namespaces

Approach

This book provides a practical guide to Emgu CV libraries, with sample code and examples used throughout to explain the concepts clearly. Each chapter deals with a different aspect of the Computer Vision field and the implementation of that topic in Emgu CV.

Who this book is written for

If you are a C# programmer working on computer vision projects, this book is for you. You should have prior experience with C#.

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Emgu CV Essentials

Emgu CV Essentials

Copyright 2013 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

First published: November 2013

Production Reference: 1071113

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-78355-952-7

www.packtpub.com

Cover Image by Aniket Sawant (<>)

Credits

Author

Shin Shi

Reviewers

Yashaswita R. Bhoir

Luca Del Tongo

Acquisition Editors

Saleem Ahmed

Antony Lowe

Commissioning Editor

Neil Alexander

Technical Editors

Shiny Poojary

Faisal Siddiqui

Sonali S. Vernekar

Copy Editors

Alisha Aranha

Mradula Hegde

Dipti Kapadia

Gladson Monteiro

Sayanee Mukherjee

Aditya Nair

Alfida Paiva

Adithi Shetty

Project Coordinator

Suraj Bist

Proofreader

Faye Coulman

Indexer

Priya Subramani

Graphics

Ronak Dhruv

Abhinash Sahu

Production Coordinator

Arvindkumar Gupta

Cover Work

Arvindkumar Gupta

About the Author

Shin Shi is a member of the Digital Art Lab at Shanghai Jiao Tong University. When he built his first robot at the age of fourteen in 2005, he became interested in the field of computer vision. Over the last two years, he created a real-time face recognition attendance system using Emgu CV at Huazhong University of Science and Technology. He obtained a B.E. in Software Engineering from HUST and is currently an M.S. candidate in DA Lab from SJTU. Now he is focusing on the field of computer graphics, such as creating physics-based simulations and the use of animation.

Foremost, I would like to give a very special thanks to my soul mate, Licheng Yin, for his invaluable support and patience. And I would like to express my sincere gratitude to Prof. ZP Qin, for his motivation and immense knowledge.

Last but not least, I would like to thank my family for supporting me spiritually throughout my life.

About the Reviewers

Yashaswita R. Bhoir is a full-time working professional, employed in an MNC and currently working on various technologies related to J2EE and application servers. She had her share of experience working on Emgu CV for a Human-Computer Interaction based project for a year. In addition to various projects on Emgu CV, she has a few conference presentations to her name.

When not working on something or the other, Yashaswita likes spending her time cooking, analyzing political affairs or re-reading the Harry Potter series. You can get in touch with her on <>

Luca Del Tongo is a computer engineer with a strong passion for algorithms, computer vision, and image-processing techniques. He's the co-author of a free e-book called "Data Structures and Algorithms (DSA)" with 100k downloads and has published several image-processing tutorials on his YouTube channel, using Emgu CV. During his Masters' thesis, he developed forensic algorithm for use on images, published in a scientific paper called "Copy Move forgery detection and localization by means of robust clustering with J-Linkage". Currently, he works as a software engineer in the ophthalmology field developing corneal topography-processing algorithms and IOL calculations. He loves practicing sports and follows MOOC courses in his spare time. You can contact him through his blog at http://blogs.ugidotnet.org/wetblog.

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Preface

This book serves as a simple working guide to the Emgu CV library, which is a .NET wrapper to the OpenCV image-processing library. Main features and sample codes are provided for understanding Emgu CV and a general background of the computer vision field is covered.

What this book covers

, Introduction to Emgu CV , gives a brief introduction to Emgu CV and provides a comparison of different libraries.

, Installing Emgu CV , is an installation reference for Emgu CV users.

, Hello World , is a guide to creating our first Emgu CV project. We also see that Emgu CV can be used with several different languages.

, Wrapping OpenCV , examines and compares the architectures of OpenCV and Emgu CV.

, Working with Images , will explain the basic concept about images and how to deal with them.

, Working with Matrices , will explain what matrices are and how to deal with them.

, Shape Detection , will introduce how to transform an image into a representation of data.

, Face Detection , will explain the basis of machine learning and face detection.

, License Plate Recognition , shows how to do a license plate recognition and optical character recognition in C# using Emgu CV.

, Image Stitching ,will explain image stitching, which is very easy to use, but essential to Emgu CV.

What you need for this book

The chapters in this book assume that you have basic knowledge about C#. It will be better if you also know something about OpenCV. If you are new to computer vision, this book offers a friendly guidance. Visual Studio and Emgu library are required in your computer. However, if you don't know them, don't worry because they will be explained in the chapters.

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