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
Thumbnail
Adobe PDF (545,24 kB)
Show full item record

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.