KHM clustering technique as a segmentation method for endoscopic colour images

Authors:
Mariusz Frąckiewicz;Henryk Palus
Affiliations:
Institute of Automatic Control, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland;Institute of Automatic Control, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland
Venue:
International Journal of Applied Mathematics and Computer Science - Semantic Knowledge Engineering
Year:
2011

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Abstract

In this paper, the idea of applying the k-harmonic means (KHM) technique in biomedical colour image segmentation is presented. The k-means (KM) technique establishes a background for the comparison of clustering techniques. Two original initialization methods for both clustering techniques and two evaluation functions are described. The proposed method of colour image segmentation is completed by a postprocessing procedure. Experimental tests realized on real endoscopic colour images show the superiority of KHM over KM.