Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/47435
Título: Fast and accurate geodesic distance transform by ordered propagation
Autores/as: Cárdenes, Rubén
Alberola-López, Carlos
Ruiz-Alzola, Juan 
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Algorithms
Images
Maps
Fecha de publicación: 2010
Editor/a: 0262-8856
Publicación seriada: Image and Vision Computing 
Resumen: In this paper, we present a new geodesic distance transform that uses a non-Euclidean metric suitable for non-convex discrete 2D domains. The geodesic metric used is defined as the shortest path length through a set of pixels called Locally Nearest Hidden Pixels, and manages visibility zones using bounding angles. The algorithm is designed using ordered propagation, which makes it extremely efficient and linear in the number of pixels in the domain. We have compared our algorithm with the four most similar geodesic distance transform techniques, and we show that our approach has higher accuracy and lower computational complexity. (C) 2009 Elsevier B.V. All rights reserved.
URI: http://hdl.handle.net/10553/47435
ISSN: 0262-8856
DOI: 10.1016/j.imavis.2009.05.013
Fuente: Image and Vision Computing[ISSN 0262-8856],v. 28, p. 307-316
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