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Thin Structures Segmentation Using Anisotropic Neighborhoods

Bayesian and probabilistic models are widely used in image processing to handle noise due to various alteration phenomena. To benefit from the spatial information in a tractable way, Markov Random Fields (MRF) are often assumed with isotropic neighborhoods, that is however at the detriment of the pr...

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Detalles Bibliográficos
Autores principales: Ribal, Christophe, Lermé, Nicolas, Le Hégarat-Mascle, Sylvie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274353/
http://dx.doi.org/10.1007/978-3-030-50146-4_44