AN ALGORITHM FOR THE SEGMENTATION OF GREY-LEVEL MEDICAL IMAGES

Authors
KARPOUZAS I JAULENT MC HEUDES D BARIETY JL DEGOULET P
Citation
I. Karpouzas et al., AN ALGORITHM FOR THE SEGMENTATION OF GREY-LEVEL MEDICAL IMAGES, Cybernetica, 38(3), 1995, pp. 195-199
Citations number
20
Categorie Soggetti
Ergonomics,"Controlo Theory & Cybernetics","Computer Science Cybernetics",Ergonomics
Journal title
Cybernetica → ACNP
ISSN journal
00114227
Volume
38
Issue
3
Year of publication
1995
Pages
195 - 199
Database
ISI
SICI code
0011-4227(1995)38:3<195:AAFTSO>2.0.ZU;2-K
Abstract
In this paper, we propose an optimal and automatic thresholding segmen tation method of grey level images based on c-means fuzzy Kohonen clus tering network. This method is very efficient for processing images wh ere grey levels vary slowly between areas. The aim is to obtain the mo st important and precisely information about contours outlines. The me thod yields an optimization problem to minimize in relation to a vecto r of (unknown) clusters centres.