Colour-based Texture Image Classification using the Complex Wavelet Transform

被引：0
|
作者：
Barilla, Maria E. [1 ]
Spann, Michael [2 ]
机构：
[1] Univ Autonoma Estado Mexico, Cerro Coatepe S-N, Toluca, Mexico
[2] Univ Birmingham, Birmingham B15 2TT, W Midlands, England
来源：
2008 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, COMPUTING SCIENCE AND AUTOMATIC CONTROL (CCE 2008) | 2008年
关键词：
D O I：
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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 we present an experimental analysis of colour-based texture image classification in order to evaluate whether colour and texture information should be used jointly or separately, Various colour spaces are used for colour information extraction. The complex wavelet transform is used to extract texture information. Results show that colour and texture information should be treated separately. As well, they evidence that colour is highly important when present in textured images.
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页码：467 / +
页数：3
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