A New Method for Colour Image Segmentation

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


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.


Computer vision, Image processing, Image segmentation

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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.

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DOI: https://doi.org/10.15837/ijccc.2016.6.2747

Copyright (c) 2017 Gustavo Schleyer, Gastón Lefranc, Claudio Cubillos, Ginno Millán, Román Osorio-Comparán

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