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.'
Product Identifiers
Publisher
Springer
ISBN-13
9789048149377
eBay Product ID (ePID)
178341302
Product Key Features
Author
Luc Florack
Publication Name
Image Structure
Format
Paperback
Language
English
Subject
Computer Science, Radiology, Mathematics, Physics
Publication Year
2010
Type
Textbook
Number of Pages
271 Pages
Dimensions
Item Height
235mm
Item Width
155mm
Volume
10
Item Weight
444g
Additional Product Features
Title_Author
Luc Florack
Series Title
Computational Imaging and Vision
Country/Region of Manufacture
Netherlands
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