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- About this book
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Despite the fact that images constitute the main objects in computer vision and image analysis, there is remarkably little concern about their actual definition. In this book a complete account of image structure is proposed in terms of rigorously defined machine concepts, using basic tools from algebra, analysis, and differential geometry. Machine technicalities such as discretisation and quantisation details are de-emphasised, and robustness with respect to noise is manifest.
From the foreword by Jan Koenderink:
`It is my hope that the book will find a wide audience, including physicists - who still are largely unaware of the general importance and power of scale space theory, mathematicians - who will find in it a principled and formally tight exposition of a topic awaiting further development, and computer scientists - who will find here a unified and conceptually well founded framework for many apparently unrelated and largely historically motivated methods they already know and love. The book is suited for self-study and graduate courses, the carefully formulated exercises are designed to get to grips with the subject matter and prepare the reader for original research.'
- Table of contents (6 chapters)
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Introduction
Pages 1-11
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Basic Concepts
Pages 13-38
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Local Samples and Images
Pages 39-88
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The Scale-Space Paradigm
Pages 89-132
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Local Image Structure
Pages 133-174
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Table of contents (6 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Image Structure
- Authors
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- Luc Florack
- Series Title
- Computational Imaging and Vision
- Series Volume
- 10
- Copyright
- 1997
- Publisher
- Springer Netherlands
- Copyright Holder
- Springer Science+Business Media Dordrecht
- eBook ISBN
- 978-94-015-8845-4
- DOI
- 10.1007/978-94-015-8845-4
- Hardcover ISBN
- 978-0-7923-4808-5
- Softcover ISBN
- 978-90-481-4937-7
- Series ISSN
- 1381-6446
- Edition Number
- 1
- Number of Pages
- XV, 271
- Topics
