DDA应用实践－冈萨雷斯《数字图像处理》

• MD在线建档：2/27/2016 5:24:37 PM by Jimbowhy
• CSDN下载：http://download.csdn.net/detail/winsenjiansbomber/9446393

CSDN坏坏，我打包的冈萨雷斯这部《数字图像处理》传了几次都给我删了，还好我会以改名，dip3rd english，不然传到明朝都照样删掉！

EBT 道客巴巴的加密与破解 - 实用组合工具箱（2015-08-04 23:06）
EBT 道客巴巴的加密与破解 －免费下载器的基础（2015-07-26 11:00）
EBT 道客巴巴的加密与破解 序章（2015-07-25 03:51）

冈萨雷斯这部《数字图像处理》在这个领域的地位就不多说了，只是网上找到的电子版不扫描的就OCR的,60MB太大，远不及原版的质量佳 27.39MB就好，这个版本是官方发现的英文PDF电子版经DOC88转SWF版，经过不久前开发的DDA程序处理，文字可以复制。

Digital ImageProcessing Third Edition Rafael C. Gonzalez University of Tennessee Richard E. Woods

DOC88_CRACK by Jimbowhy

Digital ImageProcessing
Third Edition

Rafael C. Gonzalez
University of Tennessee
Richard E. Woods
MedData Interactive

Upper Saddle River, NJ 07458

Vice President and Editorial Director,ECS:
Marcia J.Horton
Executive Editor:
Michael McDonald
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and
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© 2008 by Pearson Education,In

Pearson Prentice HallPearson Education,Inc.Upper Saddle River,New Jersey 07458All rights reserved.No part of this book may be reproduced,in any form,or by any means,withoutpermission in writing from the publisher.Pearson Prentice Hall® is a trademark of Pearson Education,Inc.The authors and publisher of this book have used their best efforts in preparing this book.These efforts includethe development,research,and testing of the theories and programs to determine their effectiveness.The authorsand publisher make no warranty of any kind,expressed or implied,with regard to these programs or thedocumentation contained in this book.The authors and publisher shall not be liable in any event for incidental orconsequential damages with,or arising out of,the furnishing,performance,or use of these programs.Printed in the United States of America.

10987654321
ISBN 0-13-168728-x978-0-13-168728-8
Pearson Education Ltd.,
London
Pearson Education Australia Pty.Ltd.,
Sydney
Pearson Education Singapore,Pte.,Ltd.Pearson Education North Asia Ltd.,
Hong Kong
Pearson Education Canada,Inc.,
Toronto
Pearson Educación de Mexico,S.A.de C.V.Pearson Education—Japan,
Tokyo
Pearson Education Malaysia,Pte.Ltd.Pearson Education,Inc.,
Upper Saddle River,New Jersey

Contents
PrefacexvAcknowledgmentsxixThe Book Web SitexxAbout the Authorsxxi
1
Introduction1
1.1What Is Digital Image Processing?1
1.2The Origins of Digital Image Processing3
1.3Examples of Fields that Use Digital Image Processing7
1.3.1Gamma-Ray Imaging8
1.3.2X-Ray Imaging9
1.3.3Imaging in the Ultraviolet Band11
1.3.4Imaging in the Visible and Infrared Bands12
1.3.5Imaging in the Microwave Band18
1.3.6Imaging in the Radio Band20
1.3.7Examples in which Other Imaging Modalities Are Used20
1.4Fundamental Steps in Digital Image Processing25
1.5Components of an Image Processing System28
Summary31
References and Further Reading31

2Digital Image Fundamentals35
2.1Elements of Visual Perception36
2.1.1Structure of the Human Eye36
2.1.2Image Formation in the Eye38
2.1.3Brightness Adaptation and Discrimination39
2.2Light and the Electromagnetic Spectrum43
2.3Image Sensing and Acquisition46
2.3.1Image Acquisition Using a Single Sensor48
2.3.2Image Acquisition Using Sensor Strips48
2.3.3Image Acquisition Using Sensor Arrays50
2.3.4ASimple Image Formation Model50
2.4Image Sampling and Quantization52
2.4.1Basic Concepts in Sampling and Quantization5
22.4.2Representing Digital Images55
2.4.3Spatial and Intensity Resolution59
2.4.4Image Interpolation65
2.5Some Basic Relationships between Pixels68
2.5.1Neighbors of a Pixel68
2.5.2Adjacency, Connectivity, Regions, and Boundaries68
2.5.3Distance Measures71
2.6An Introduction to the Mathematical Tools Used in Digital ImageProcessing72
2.6.1Array versus Matrix Operations72
2.6.2Linear versus Nonlinear Operations73
2.6.3Arithmetic Operations74
2.6.4Set and Logical Operations80
2.6.5Spatial Operations85
2.6.6Vector and Matrix Operations92
2.6.7Image Transforms93
2.6.8Probabilistic Methods96
Summary98
References and Further Reading98
Problems99
3 Intensity Transformations and Spatial Filtering104
…
4 Filtering in the Frequency Domain199
5 Image Restoration and Reconstruction311
6 Color Image Processing394
7 Wavelets and Multiresolution Processing461
8 Image Compression525
9 Morphological Image Processing627
10 Image Segmentation689
11 Representation and Description795
…
12 Object Recognition861
12.1Patterns and Pattern Classes861
12.2Recognition Based on Decision-Theoretic Methods866
12.2.1Matching866
12.2.2Optimum Statistical Classifiers872
12.2.3Neural Networks882
12.3Structural Methods903
12.3.1Matching Shape Numbers903
12.3.2String Matching904
Summary906
References and Further Reading906
Problems907
Appendix A 910
Bibliography915
Index 943