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Anisotropic Diffusion

Perona, Pietro and Shiota, Takahiro and Malik, Jitendra (1994) Anisotropic Diffusion. In: Geometry-Driven Diffusion in Computer Vision. Computational Imaging and Vision. No.1. Springer Netherlands , Dordrecht, pp. 73-92. ISBN 9789048144617. https://resolver.caltech.edu/CaltechAUTHORS:20190328-155333804

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Abstract

The importance of multi-scale descriptions of images has been recognized from the early days of computer vision e.g. Rosenfeld and Thurston [309]. A clean formalism for this problem is the idea of scale-space filtering introduced by Witkin [386] and further developed in Koenderink [187], Babaud, Duda and Witkin[24], Yuille and Poggio [396], and Hummel [163, 164] and reviewed in the earlier sections of this book.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1007/978-94-017-1699-4_3DOIArticle
ORCID:
AuthorORCID
Perona, Pietro0000-0002-7583-5809
Additional Information:© Springer Science+Business Media Dordrecht 1994.
Subject Keywords:Maximum Principle; Diffusion Equation; Maximal Monotone; Causality Criterion; Brightness Gradient
Series Name:Computational Imaging and Vision
Issue or Number:1
Record Number:CaltechAUTHORS:20190328-155333804
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190328-155333804
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:94262
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:28 Mar 2019 23:05
Last Modified:03 Oct 2019 21:02

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