Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47452
Title: Occlusion points propagation geodesic distance transformation
Authors: Cârdenes, Rubén
Warfield, Simon K.
Ruiz-Alzola, Juan 
Macias, E 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Biomedical imaging
Robustness
Radiology
Pixel
Computer vision, et al
Issue Date: 2003
Journal: IEEE International Conference on Image Processing
Conference: Proceedings: 2003 International Conference on Image Processing, ICIP-2003 
Abstract: 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
Source: IEEE International Conference on Image Processing,v. 1, p. 361-364
Appears in Collections:Actas de congresos
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