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Biased anisotropic diffusion—A unified regularization and diffusion approach to edge detection
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-74503-9openalex-snapshot
Linear and Nonlinear Programming
inferredcites →https://doi.org/10.1016/0262-8856(90)80008-hopenalex-snapshot
Biased anisotropic diffusion: a unified regularization and diffusion approach to edge detection
inferredcites →https://doi.org/10.1016/0378-4754(86)90092-3openalex-snapshot
Linear and nonlinear programming.
inferredcites →https://doi.org/10.1109/34.56205openalex-snapshot
Scale-space and edge detection using anisotropic diffusion
inferredcites →https://doi.org/10.1109/tpami.1984.4767596openalex-snapshot
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
inferredcites →https://doi.org/10.1109/tpami.1986.4767807openalex-snapshot
Regularization of Inverse Visual Problems Involving Discontinuities
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A class of regularizations based on nonlinear isotropic diffusion for inverse problems
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Assessment of Speckle Noise Reduction in Digital Images using Nonlinear Anisotropic Diffusion: An Experimental Investigation
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Edge detection techniques using nonlinear diffusion-based models
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PDE Based Approach for Segmentation of Oriented Patterns
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