KHM clustering technique as a segmentation method for endoscopic colour images

• Autorzy: Frąckiewicz M. , Palus H.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

biomedical colour image segmentation; k-harmonic means technique; kappa-means technique

PL

segmentacja obrazu; obraz barwny; biomedycyna

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2011
• Tom: Vol. 21, no 1
• Strony: 203--209
• Opis fizyczny: Bibliogr. 12 poz., rys., tab.

Twórcy

autor

Frąckiewicz M.

autor

Palus H.

• Institute of Automatic Control, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland,

Bibliografia

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