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Fast Color Image Segmentation using Fuzzy Clustering
Patrick Lambert
Horia Grecu
  DOI :  10.2352/CGIV.2002.1.1.art00110  Published Online :  January 2002
Abstract

In this paper we focus on the problem of image segmentation by color clustering. We present a robust agglomerating clustering algorithm based on cluster validity criteria derived from fuzzy partitions. The result is a simplified segmentation having a small number of large regions. The interest of the proposed method is that it requires a single parameter and that the computational complexity is very low.

Journal Title : Conference on Colour in Graphics, Imaging, and Vision
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CGIV.2002.1.1.art00110
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Patrick Lambert, Horia Grecu, "Fast Color Image Segmentation using Fuzzy Clustering"  in Proc. IS&T CGIV 2002 First European Conf. on Colour in Graphics, Imaging, and Vision,  2002,  pp 527 - 528,  https://doi.org/10.2352/CGIV.2002.1.1.art00110

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  Copyright statement 
Copyright © Society for Imaging Science and Technology 2002
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2158-6330(20020101)2002:1L.527;1-
cgiv_v2002n1/splitsection110.xml
/ist/cgiv/2002/00002002/00000001/art00110
Articles
Fast Color Image Segmentation using Fuzzy Clustering
LambertPatrick
GrecuHoria
01012002
2002
1
527
528
2002
In this paper we focus on the problem of image segmentation by color clustering. We present a robust agglomerating clustering algorithm based on cluster validity criteria derived from fuzzy partitions. The result is a simplified segmentation having a small number of large regions. The interest of the proposed method is that it requires a single parameter and that the computational complexity is very low.