Binary Digital Image Processing -  Stephane Marchand-Maillet,  Yazid M. Sharaiha

Binary Digital Image Processing (eBook)

A Discrete Approach
eBook Download: PDF
1999 | 1. Auflage
368 Seiten
Elsevier Science (Verlag)
978-0-08-052782-6 (ISBN)
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This book is aimed at faculty, postgraduate students and industry specialists. It is both a text reference and a textbook that reviews and analyses the research output in this field of binary image processing. It is aimed at both advanced researchers as well as educating the novice to this area. The theoretical part of this book includes the basic principles required for binary digital image analysis. The practical part which will take an algorithmic approach addresses problems which find applications beyond binary digital line image processing.
The book first outlines the theoretical framework underpinning the study of digital image processing with particular reference to those needed for line image processing. The theoretical tools in the first part of the book set the stage for the second and third parts, where low-level binary image processing is addressed and then intermediate level processing of binary line images is studied. The book concludes with some practical applications of this work by reviewing some industrial and software applications (engineering drawing storage and primitive extraction, fingerprint compression).


The book:


* outlines the theoretical framework underpinning the study of digital image processing with particular reference to binary line image processing
* addresses low-level binary image processing, reviewing a number of essential characteristics of binary digital images and providing solution procedures and algorithms
* includes detailed reviews of topics in binary digital image processing with up-to-date research references in relation to each of the problems under study
* includes some practical applications of this work by reviewing some common applications
* covers a range of topics, organised by theoretical field rather than being driven by problem definitions

Binary Digital Image Processing is aimed at faculty, postgraduate students and industry specialists. It is both a text reference and a textbook that reviews and analyses the research output in this field of binary image processing. It is aimed at both advanced researchers as well as educating the novice to this area. The theoretical part of this book includes the basic principles required for binary digital image analysis. The practical part which will take an algorithmic approach addresses problems which find applications beyond binary digital line image processing.The book first outlines the theoretical framework underpinning the study of digital image processing with particular reference to those needed for line image processing. The theoretical tools in the first part of the book set the stage for the second and third parts, where low-level binary image processing is addressed and then intermediate level processing of binary line images is studied. The book concludes with some practical applications of this work by reviewing some industrial and software applications (engineering drawing storage and primitive extraction, fingerprint compression). Outlines the theoretical framework underpinning the study of digital image processing with particular reference to binary line image processing Addresses low-level binary image processing, reviewing a number of essential characteristics of binary digital images and providing solution procedures and algorithms Includes detailed reviews of topics in binary digital image processing with up-to-date research references in relation to each of the problems under study Includes some practical applications of this work by reviewing some common applications Covers a range of topics, organised by theoretical field rather than being driven by problem definitions

Cover 1
Contents 6
Foreword 16
Acknowledgements 18
Notation 20
Preface 24
Chapter 1. Digital topology 28
1.1 Continuous to discrete images 28
1.2 Neighbourhoods 30
1.3 Discrete sets 33
1.4 Discrete distances 39
1.5 Compatibility with continuous distances 53
Chapter 2. Discrete geometry 62
2.1 Introduction 62
2.2 Discrete straightness 63
2.3 Discrete convexity 83
2.4 Discrete curvature 95
2.5 Parallelism and orthogonality 101
Chapter 3. Algorithmic graph theory 104
3.1 Definitions 104
3.2 Optimisation 111
3.3 Analogies with digital image processing 123
Chapter 4. Acquisition and storage 132
4.1 Digitisation 132
4.2 Storage of binary digital images 153
Chapter 5. Distance transformations 166
5.1 Definitions and properties 166
5.2 Discrete distance transformations 169
5.3 Euclidean distance transformations 180
5.4 Related results 193
Chapter 6. Binary digital image characteristics 200
6.1 Connected component labelling 200
6.2 Noise reduction 207
6.3 Shape factors 215
Chapter 7. Image thinning 226
7.1 Skeleton models 226
7.2 Thinning algorithms 232
7.3 Binary line images 238
Chapter 8. Some applications 250
8.1 Circuit image 250
8.2 Road map image 253
8.3 Fingerprint image 254
8.4 Text image 255
8.5 Drawing image 257
References 260
Index 274

Erscheint lt. Verlag 1.12.1999
Sprache englisch
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Technik Maschinenbau
ISBN-10 0-08-052782-5 / 0080527825
ISBN-13 978-0-08-052782-6 / 9780080527826
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