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http://hdl.handle.net/10553/47447
Título: | Skeleton extraction of 2D objects using shock wavefront detection | Autores/as: | Cárdenes, Rubén Ruiz-Alzola, Juan |
Clasificación UNESCO: | 3314 Tecnología médica | Palabras clave: | Euclidean Distance Algorithm |
Fecha de publicación: | 2005 | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 10th International Conference on Computer Aided Systems Theory | Resumen: | This paper proposes a method for computing the medial axis transform (MAT) or the skeleton of a general 2D shape using a technique with a high performance, based on a distance transform computation from the shape's boundaries. The distance transform is computed propagating a wavefront from the boundary, and the skeleton is obtained detecting the points where the wavefronts collide themselves, and applying connectivity rules during the process. This method has two main advantages: the efficiency and the preservation of the skeleton properties. | URI: | http://hdl.handle.net/10553/47447 | ISBN: | 3540290028 | ISSN: | 0302-9743 | Fuente: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 3643 LNCS, p. 392-397 |
Colección: | Actas de congresos |
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