Digital Image Processing: Concepts, Algorithms, and Scientific Applications / Edition 5

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Overview

The sixth edition has been revised and extended. The whole textbook is now clearly partitioned into basic and advanced material in order to cope with the ever-increasing field of digital image processing. In this way, you can first work your way through the basic principles of digital image processing without getting overwhelmed by the wealth of the material and then extend your studies to selected topics of interest. Each chapter now includes exercises that help you to test your understanding, train your skills, and introduce you to real-world image processing tasks. An important part of the exercises is a wealth of interactive computer exercises, which cover all topics of this textbook. These exercises are performed with the image processing software heurisko, which is included on the accompanying CD-ROM. In this way you can get own practical experience with almost all topics and algorithms covered by this book. The complete hyperlinked text of the book is now available on the accompanying CD-ROM.

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Product Details

  • ISBN-13: 9783540677543
  • Publisher: Springer-Verlag New York, LLC
  • Publication date: 4/29/2002
  • Edition description: Older Edition
  • Edition number: 5
  • Pages: 572
  • Product dimensions: 6.32 (w) x 9.46 (h) x 1.11 (d)

Table of Contents

1 Applications and tools 3
2 Image representation 31
3 Random variables and fields 81
4 Neighborhood operations 105
5 Multiscale representation 135
6 Quantitative visualization 157
7 Image formation 189
8 3-D imaging 217
9 Digitization, sampling, quantization 243
10 Pixel processing 257
11 Averaging 299
12 Edges 331
13 Simple neighborhoods 359
14 Motion 397
15 Texture 435
16 Segmentation 449
17 Regularization and modeling 463
18 Morphology 501
19 Shape presentation and analysis 515
20 Classification 533
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