Image color segmentation using the fuzzy tree algorithm T-LAMDA

被引：14

作者：

Doncescu, Andrei ^{[1
]}

Aguilar-Martin, Joseph ^{[1
]}

Atine, Jean-Charles ^{[1
]}

机构：

[1] CNRS, UPR 8001, Lab Anal & Architecture Syst, F-31007 Toulouse, France

来源：

FUZZY SETS AND SYSTEMS | 2007年 / 158卷 / 03期

关键词：

fuzzy decision tree; graph; fuzzy image segmentation;

D O I：

10.1016/j.fss.2006.10.007

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The image segmentation is very sensitive to the features used in the similarity measure and the objects type. In this paper we introduce a new segmentation algorithm based on fuzzy clustering. This method allows to incorporate spatial information which yield the result more accurate and more robust to noise. It is completely automatized with respect to the number of clusters and the setting up of membership functions. The data structure based on a Fuzzy Tree Algorithm allows to reduce the CPU time. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：230 / 238

页数：9

共 11 条

[1]

[Anonymous], 1986, MACH LEARN

[2] ORDERING OF MULTIVARIATE DATA [J].

BARNETT, V .

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 1976, 139 :318-354

[3]

Brieman L., 1984, WADSWORTH INC

[4] FUZZY DECISION TREE ALGORITHMS [J].

CHANG, RLP ;

PAVLIDIS, T .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1977, 7 (01) :28-35

[5] Two linear time Union-Find strategies for image processing [J].

Fiorio, C ;

Gustedt, J .

THEORETICAL COMPUTER SCIENCE, 1996, 154 (02) :165-181

[6] Fuzzy decision trees: Issues and methods [J].

Janikow, CZ .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1998, 28 (01) :1-14

[7]

MAHONEY JJ, 1991, 91154 U TEX AUST DEP

[8]

MARSALA C, 1998, CONSTRUCTION ARBRES, P171

[9] A complete fuzzy decision tree technique [J].

Olaru, C ;

Wehenkel, L .

FUZZY SETS AND SYSTEMS, 2003, 138 (02) :221-254

[10]

PIERA N, 1991, T SYST MAN CYBERNETI, V21, P71

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