A concurrent region growing algorithm guided by circumscribed contours


Autoria(s): Cufí i Solé, Xavier; Muñoz Pujol, Xavier; Freixenet i Bosch, Jordi; Martí Bonmatí, Joan
Resumo

Image segmentation of natural scenes constitutes a major problem in machine vision. This paper presents a new proposal for the image segmentation problem which has been based on the integration of edge and region information. This approach begins by detecting the main contours of the scene which are later used to guide a concurrent set of growing processes. A previous analysis of the seed pixels permits adjustment of the homogeneity criterion to the region's characteristics during the growing process. Since the high variability of regions representing outdoor scenes makes the classical homogeneity criteria useless, a new homogeneity criterion based on clustering analysis and convex hull construction is proposed. Experimental results have proven the reliability of the proposed approach

Identificador

http://hdl.handle.net/10256/2175

Idioma(s)

eng

Publicador

IEEE

Direitos

Tots els drets reservats

Palavras-Chave #Algorismes computacionals #Imatges -- Processament #Reconeixement de formes (Informàtica) #Visió per ordinador #Computer algorithms #Computer vision #Image processing #Pattern recognition systems
Tipo

info:eu-repo/semantics/article