Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/47452
Título: Occlusion points propagation geodesic distance transformation
Autores/as: Cârdenes, Rubén
Warfield, Simon K.
Ruiz-Alzola, Juan 
Macias, E 
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Biomedical imaging
Robustness
Radiology
Pixel
Computer vision, et al.
Fecha de publicación: 2003
Publicación seriada: IEEE International Conference on Image Processing
Conferencia: Proceedings: 2003 International Conference on Image Processing, ICIP-2003 
Resumen: We propose a new approach to compute geodesic distance transformations in arbitrary 2D and 3D domains. The distance transformation proposed here is robust and has proved to have a computational complexity linear in the domain size. Our scheme is based on a new technique which we call occlusion points propagation, and with a higher accuracy than other geodesic distance transformations proposed before. We validate the algorithm with a set of synthetic domains, and we also make comparisons with two similar algorithms called Bd-geodesic distance transformation and B d-geodesic distance transformation with circular propagation.
URI: http://hdl.handle.net/10553/47452
ISBN: 0-7803-7750-8
ISSN: 1522-4880
Fuente: IEEE International Conference on Image Processing,v. 1, p. 361-364
Colección:Actas de congresos
miniatura
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