KHM CLUSTERING TECHNIQUE AS A SEGMENTATION METHOD FOR ENDOSCOPIC COLOUR IMAGES

被引：5
|
作者：
Frackiewicz, Mariusz [1 ]
Palus, Henryk [1 ]
机构：
[1] Silesian Tech Univ, Inst Automat Control, PL-44100 Gliwice, Poland
来源：
INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE | 2011年 / 21卷 / 01期
关键词：
biomedical colour image segmentation; k-harmonic means technique; k-means technique;
D O I：
10.2478/v10006-011-0015-0
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：203 / 209
页数：7
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