Abstract
The necessity of using a multiscale analysis of images has clearly been established in the literature. The introduction of a continuous scale-space can be found in [187], [386], and [396]. The fundamental constraint on a continuous scale-space is that it be causal; that is, no spurious detail should be generated with increasing scale. Additional constraints involving linearity and symmetry lead to the fact that the Gaussian kernel is the unique scale-space filter. A detailed investigation of scale-space, including its natural differential operators and differential invariants is found in [358]. The issues of discretization of the operators are found in [213].
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© 1994 Springer Science+Business Media Dordrecht
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Eberly, D. (1994). A Differential Geometric Approach to 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_14
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DOI: https://doi.org/10.1007/978-94-017-1699-4_14
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4461-7
Online ISBN: 978-94-017-1699-4
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