Gaussian Scale-Space Theory

Gaussian scale-space is one of the best understood multi-resolution techniques available to the computer vision and image analysis community. It is the purpose of this book to guide the reader through some of its main aspects. During an intensive weekend in May 1996 a workshop on Gaussian scale-spac...

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Bibliographic Details
Other Authors: Sporring, Jon (Editor), Nielsen, Mads (Editor), Florack, Luc (Editor), Johansen, Peter (Editor)
Format: eBook
Language:English
Published: Dordrecht Springer Netherlands 1997, 1997
Edition:1st ed. 1997
Series:Computational Imaging and Vision
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 1 Applications of Scale-Space Theory
  • 2 Enhancement of Fingerprint Images using Shape-Adapted Scale-Space Operators
  • 3 Optic Flow and Stereo
  • 4 On the History of Gaussian Scale-Space Axiomatics
  • 5 Scale-Space and Measurement Duality
  • 6 On the Axiomatic Foundations of Linear Scale-Space
  • 7 Scale-Space Generators and Functionals
  • 8 Invariance Theory
  • 9 Stochastic Analysis of Image Acquisition and Scale-Space Smoothing
  • 10 Local Analysis of Image Scale Space
  • 11 Local Morse Theory for Gaussian Blurred Functions
  • 12 Critical Point Events in Affine Scale-Space
  • 13 Topological Numbers and Singularities Stiliyan Kalitzin
  • 14 Multi-Scale Watershed Segmentation
  • 15 The Morphological Equivalent of Gaussian Scale-Space
  • 16 Nonlinear Diffusion Scale-Spaces