Identificador persistente para citar o vincular este elemento: 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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