A new method for colour image segmentation

Gustavo Schleyer, Gastón Lefranc, Claudio Cubillos, Ginno Millán, Román Osorio-Comparán

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

1 Cita (Scopus)

Resumen

This paper presents an unsupervised algorithm of colour image segmentation and is an extension of [1]a . This method combines the advantages of the approaches based on split and merge and region growing, and the use of the RGB and HSV colour representation models. The effectiveness of the proposed method has been verified by the implementation of the algorithm using three different testing images with homogeneous regions, spatially compact and continuous. It was observed that the proposed algorithm outperforms the other analysed techniques requiring shorter processing time when compared with the other methods.

Idioma originalInglés
Páginas (desde-hasta)860-876
Número de páginas17
PublicaciónInternational Journal of Computers, Communications and Control
Volumen11
N.º6
DOI
EstadoPublicada - 2016
Publicado de forma externa

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