Creator:

Frąckiewicz, Mariusz ; Palus, Henryk

Contributor:

Korbicz, Józef - red. ; Uciński, Dariusz - red.

Title:

KHM clustering technique as a segmentation method for endoscopic colour images

Group publication title:

AMCS, Volume 21 (2011)

Subject and Keywords:

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

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.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Date:

2011

Resource Type:

artykuł

DOI:

10.2478/v10006-011-0015-0

Pages:

203-209

Source:

AMCS, Volume 21, Number 1 (2011) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego