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ORCID: https://orcid.org/0000-0003-3712-8297, Sanguino Botella, Fco. Javier
ORCID: https://orcid.org/0000-0002-9203-101X, Tobar Puente, M. del Carmen
ORCID: https://orcid.org/0000-0002-7370-6835, Poncela Pardo, José Manuel and Asensio Madrid, Gabriel
ORCID: https://orcid.org/0000-0001-9108-0840
(2009).
Analytical Approximations for Nonlinear Diffusion Time in Multiscale Edge Enhancement.
En: "4th International Conference on Computer Vision Theory and Applications", 5-8 febrero, 2009, Lisboa, Portugal. pp. 78-81.
https://doi.org/https://www.scitepress.org/Papers/2009/17892/17892.pdf.
| Título: | Analytical Approximations for Nonlinear Diffusion Time in Multiscale Edge Enhancement |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 4th International Conference on Computer Vision Theory and Applications |
| Fechas del Evento: | 5-8 febrero, 2009 |
| Lugar del Evento: | Lisboa, Portugal |
| Título del Libro: | Proceedings of the Fourth International Conference on Computer Vision Theory and Applications |
| Fecha: | 12 Octubre 2009 |
| Volumen: | 1 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Anisotropic Diffusion; Multiscale edge enhancement; nonlinear diffusion filter; Regularization; Schemes; Segmentation; WAVELET SHRINKAGE |
| Escuela: | E.T.S.I. Diseño Industrial (UPM) |
| Departamento: | Ingeniería Eléctrica, Electrónica Automática y Física Aplicada |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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The image simplification, noise elimination and edge enhancement steps are all fundamental to segmentation tasks. These processing techniques usually require the tuning of their control parameters; a procedure known to be incompatible with automatic segmentation. The aim of this paper is to adopt a procedure, based on nonlinear diffusion, that is capable of auto tuning by means of analytical expressions that relate diffusion times to the gradient module. The numerical method and experimental results are shown in 1D, 2D and 3D.
| ID de Registro: | 94618 |
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| Identificador DC: | https://oa.upm.es/94618/ |
| Identificador OAI: | oai:oa.upm.es:94618 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/5510505 |
| Identificador DOI: | https://www.scitepress.org/Papers/2009/17892/17892.pdf |
| URL Oficial: | https://api.elsevier.com/content/abstract/scopus_i... |
| Depositado por: | iMarina Portal Científico |
| Depositado el: | 05 Mar 2026 06:50 |
| Ultima Modificación: | 05 Mar 2026 06:50 |
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