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KHM clustering technique as a segmentation method for endoscopic colour images
International Journal of Applied Mathematics and Computer Science, Tome 21 (2011) no. 1, pp. 203-209.

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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.
Keywords: biomedical colour image segmentation, k-harmonic means technique, kappa-means technique
Mots-clés : segmentacja obrazu, obraz barwny, biomedycyna 
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Frąckiewicz, M.; Palus, H. KHM clustering technique as a segmentation method for endoscopic colour images. International Journal of Applied Mathematics and Computer Science, Tome 21 (2011) no. 1, pp. 203-209. http://geodesic.mathdoc.fr/item/IJAMCS_2011_21_1_a14/

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