Texture classification using Gabor filters

被引：141

作者：

Idrissa, M ^{[1
]}

Acheroy, M ^{[1
]}

机构：

[1] Royal Mil Acad, Signal & Image Ctr, B-1000 Brussels, Belgium

来源：

PATTERN RECOGNITION LETTERS | 2002年 / 23卷 / 09期

关键词：

Gabor filters; classification; fuzzy clustering; cluster validity;

D O I：

10.1016/S0167-8655(02)00056-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An unsupervised texture classification scheme is proposed in this paper. The texture features are based on the image local spectrum which is obtained by a bank of Gabor filters. The fuzzy clustering algorithm is used for unsupervised classification. In many applications, this algorithm depends on assumptions made about the number of subgroups present in the data. Therefore we discuss ideas behind cluster validity measures and propose a method for choosing the optimal number of clusters. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：1095 / 1102

页数：8

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