Image Structure

  • LucĀ Florack

Part of the Computational Imaging and Vision book series (CIVI, volume 10)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Luc Florack
    Pages 1-11
  3. Luc Florack
    Pages 13-38
  4. Luc Florack
    Pages 39-88
  5. Luc Florack
    Pages 89-132
  6. Luc Florack
    Pages 133-174
  7. Luc Florack
    Pages 175-203
  8. Back Matter
    Pages 205-271

About this book

Introduction

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.'

Keywords

computer computer vision differential geometry image analysis noise

Authors and affiliations

  • LucĀ Florack
    • 1
  1. 1.Department of Computer ScienceUtrecht UniversityUtrechtThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-015-8845-4
  • Copyright Information Springer Science+Business Media B.V. 1997
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-4937-7
  • Online ISBN 978-94-015-8845-4
  • Series Print ISSN 1381-6446
  • About this book