A new method for colour image segmentation

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

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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.

Original languageEnglish
Pages (from-to)860-876
Number of pages17
JournalInternational Journal of Computers, Communications and Control
Issue number6
StatePublished - 2016


  • Computer vision
  • Image processing
  • Image segmentation


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