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Titlebook: Geometry-Driven Diffusion in Computer Vision; Bart M. Haar Romeny Book 1994 Springer Science+Business Media Dordrecht 1994 Diffusion.Optim

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A Differential Geometric Approach to Anisotropic Diffusion,n be found in [187], [386], and [396]. The fundamental constraint on a continuous scale-space is that it be .; 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-
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Numerical Analysis of Geometry-Driven Diffusion Equations,: the solution of the equations can be interpreted as evolving from an initial state as time is increasing. In our analysis the initial state will be n image acquired at a certain resolution, and the evolution will generate a multi-scale representation. The nonlinear partial differential equations i
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Electrical Equipment in Class I Locations,lean 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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The Lebedev Physics Institute SeriesIn this chapter we generalize the ideas of previous chapters in order to construct variable-conductance diffusion processes that are sensitive to higher-order image structure. To do this we consider . as one instance of a whole class of processes that blur images while preserving certain kinds of interesting structure.
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Vector-Valued Diffusion,In this chapter we generalize the ideas of previous chapters in order to construct variable-conductance diffusion processes that are sensitive to higher-order image structure. To do this we consider . as one instance of a whole class of processes that blur images while preserving certain kinds of interesting structure.
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Variational Problems with a Free Discontinuity Set,The present chapter is a short survey about the most recent contributions to the mathematical analysis of a variational approach to image segmentation proposed by D. Mumford and J. Shah.
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978-90-481-4461-7Springer Science+Business Media Dordrecht 1994
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