Image segmentation by graph partitioning

Torres, Ana Sofia; Monteiro, Fernando C.

http://hdl.handle.net/10198/10559

Utilize este identificador para referenciar este registo.

Nome:	Descrição:	Tamanho:	Formato:
802_1.pdf		198.59 KB	Adobe PDF	Ver/Abrir

Contacte-nos

Autores

Torres, Ana Sofia

Monteiro, Fernando C.

Resumo(s)

In this paper we propose an hybrid method for the image segmentation which combines the edge-based, region-based and the morphological techniques in conjunction through the spectral based clustering approach. An initial partitioning of the image into atomic regions is set by applying a watershed method to the image gradient magnitude. This initial partition is the input to a computationally efficient region segmentation process which produces the final segmentation. We have applied our approach on several images of the Berkeley Segmentation Dataset. The results reveal the accuracy of the propose method.

Palavras-chave

Graph partitioning Image segmentation Normalized cut Watershed transform

URI

http://hdl.handle.net/10198/10559

Citação

Torres, Ana Sofia; Monteiro, Fernando C. (2012). Image segmentation by graph partitioning. In International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2012. Kos - Greece. 1479, p.802-805. ISBN 978-073541091-6

DOI

10.1063/1.4756259

Coleções

ESTiG - Publicações em Proceedings Indexadas à WoS/Scopus

Métricas Alternativas

Ver registo completo