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Title: KHM clustering technique as a segmentation method for endoscopic colour images

Creator:

Frąckiewicz, Mariusz ; Palus, Henryk

Date:

2011

Resource Type:

artykuł

Contributor:

Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.

Group publication title:

AMCS, Volume 21 (2011)

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

Resource Identifier:

oai:zbc.uz.zgora.pl:46909

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

License CC BY 4.0:

click here to follow the link

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

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

Object collections:

Last modified:

Jul 14, 2025

In our library since:

Aug 20, 2018

Number of object content hits:

237

All available object's versions:

https://zbc.uz.zgora.pl/repozytorium/publication/55007

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KHM clustering technique as a segmentation method for endoscopic colour images Jul 14, 2025
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