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数字图像目标检测与识别理论与实践pdf(原著)
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数字图像目标检测与识别理论与实践pdf,Boguslaw Cyganek原版,英文版。
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OBJECT DETECTION
AND RECOGNITION
IN DIGITAL IMAGES
OBJECT DETECTION
AND RECOGNITION
IN DIGITAL IMAGES
THEORY AND PRACTICE
Bogusław Cyganek
AGH University of Science and Technology, Poland
A John Wiley & Sons, Ltd., Publicatio
n
This edition first published 2013
C
2013 John Wiley & Sons, Ltd
Registered office
John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, United Kingdom
For details of our global editorial offices, for customer services and for information about how to apply for
permission to reuse the copyright material in this book please see our website at www.wiley.com.
The right of the author to be identified as the author of this work has been asserted in accordance with the Copyright,
Designs and Patents Act 1988.
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any
form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by the UK
Copyright, Designs and Patents Act 1988, without the prior permission of the publisher.
Wiley also publishes its books in a variety of electronic formats. Some content that appears in print may not be
available in electronic books.
Designations used by companies to distinguish their products are often claimed as trademarks. All brand names and
product names used in this book are trade names, service marks, trademarks or registered trademarks of their
respective owners. The publisher is not associated with any product or vendor mentioned in this book. This
publication is designed to provide accurate and authoritative information in regard to the subject matter covered. It is
sold on the understanding that the publisher is not engaged in rendering professional services. If professional advice
or other expert assistance is required, the services of a competent professional should be sought.
MATLAB
R
is a trademark of The MathWorks, Inc. and is used with permission. The MathWorks does not warrant
the accuracy of the text or exercises in this book. This books use or discussion of MATLAB
R
software or related
products does not constitute endorsement or sponsorship by The MathWorks of a particular pedagogical approach or
particular use of the MATLAB
R
software.
Library of Congress Cataloging-in-Publication Data
Cyganek, Boguslaw.
Object detection and recognition in digital images : theory and practice / Boguslaw Cyganek.
pages cm
Includes bibliographical references and index.
ISBN 978-0-470-97637-1 (cloth)
1. Pattern recognition systems. 2. Image processing–Digital techniques. 3. Computer vision. I. Title.
TK7882.P3C94 2013
621.39
94–dc23
2012050754
A catalogue record for this book is available from the British Library
ISBN: 978-0-470-97637-1
Typeset in 10/12pt Times by Aptara Inc., New Delhi, India
To my family with love
Contents
Preface xiii
Acknowledgements xv
Notations and Abbreviations xvii
1 Introduction 1
1.1 A Sample of Computer Vision 3
1.2 Overview of Book Contents 6
References 8
2 Tensor Methods in Computer Vision 9
2.1 Abstract 9
2.2 Tensor – A Mathematical Object 10
2.2.1 Main Properties of Linear Spaces 10
2.2.2 Concept of a Tensor 11
2.3 Tensor – A Data Object 13
2.4 Basic Properties of Tensors 15
2.4.1 Notation of Tensor Indices and Components 16
2.4.2 Tensor Products 18
2.5 Tensor Distance Measures 20
2.5.1 Overview of Tensor Distances 22
2.5.1.1 Computation of Matrix Exponent and Logarithm Functions 24
2.5.2 Euclidean Image Distance and Standardizing Transform 29
2.6 Filtering of Tensor Fields 33
2.6.1 Order Statistic Filtering of Tensor Data 33
2.6.2 Anisotropic Diffusion Filtering 36
2.6.3 IMPLEMENTATION of Diffusion Processes 40
2.7 Looking into Images with the Structural Tensor 44
2.7.1 Structural Tensor in Two-Dimensional Image Space 47
2.7.2 Spatio-Temporal Structural Tensor 50
2.7.3 Multichannel and Scale-Space Structural Tensor 52
2.7.4 Extended Structural Tensor 54
2.7.4.1 IMPLEMENTATION of the Linear and Nonlinear
Structural Tensor 57
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资源评论
- smalltt2018-07-30very good, very useful book
- 才学2018-05-26英文版英文版
- lory_0012019-08-06不错,比较清晰
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