A New Method for Colour Image Segmentation


  • Gustavo Schleyer Pontificia Universidad Católica de Valpaí­so Escuela de Ingenierí­a Eléctrica Avda. Brasil #2147 Valparaí­so, Chile
  • Gastón Lefranc Pontificia Universidad Católica de Valpaí­so Escuela de Ingenierí­a Eléctrica Avda. Brasil #2147 Valparaí­so, Chile
  • Claudio Cubillos Pontificia Universidad Católica de Valpaí­so Escuela de Ingenierí­a Eléctrica Avda. Brasil #2147 Valparaí­so, Chile
  • Ginno Millí¡n Universidad Católica del Norte Escuela de Ingenierí­a Larrondo #1281 Coquimbo, Chile
  • Romí¡n Osorio-Comparí¡n Universidad Nacional Autónoma de México Instituto de Investigaciones en Matemí¡ticas Aplicadas y en Sistemas Ciudad Universitaria Coyoací¡n, México D.F., México


Computer vision, Image processing, Image segmentation


This paper presents an unsupervised algorithm of colour image segmentation. 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.


Scheleyer, G.; Cubillos, G.; Millán G., Osorio-Comparán, R.; Lefranc G. (2016); A New olour Image Segmentation, Computers Communications and Control (ICCCC), 2016 6th nternational Conference on, IEEE Xplore, DOI: 10.1109/ICCCC.2016.7496766, ISBN 978- -5090-1735-5, 232-239. http://dx.doi.org/10.1109/ICCCC.2016.7496766

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