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.
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© 1994 Springer Science+Business Media Dordrecht
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Perona, P., Shiota, T., Malik, J. (1994). Anisotropic Diffusion. In: ter Haar Romeny, B.M. (eds) Geometry-Driven Diffusion in Computer Vision. Computational Imaging and Vision, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1699-4_3
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DOI: https://doi.org/10.1007/978-94-017-1699-4_3
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4461-7
Online ISBN: 978-94-017-1699-4
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