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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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