Revista Ingenierías Universidad de Medellín
versión impresa ISSN 1692-3324
DIAZ, Idanis; MONTOYA, Diana y BOULANGER, Pierre. BAYESIAN DECISION THEORY IN SIMILARITY CRITERIA USED IN RANGE IMAGES SEGMENTATION. Rev. ing. univ. Medellin [online]. 2007, vol.6, n.11, pp. 171-179. ISSN 1692-3324.
To obtain a segment image is still not possible. Typically, results obtained by computer programs show over-segmentation and not well-defined edges. Most of these difficulties are believed to be due to similarity criteria used by segmentation algorithms. In this paper, there is an analysis of similarity criteria most used in literature and an analysis of criteria based on Bayesian decision theory.
Palabras llave : Segmentation; range images; Bayesian theory.