Wavelet correlation signatures for color texture characterization

被引：101

作者：

Van de Wouwer, G ^{[1
]}

Scheunders, P ^{[1
]}

Livens, S ^{[1
]}

Van Dyck, D ^{[1
]}

机构：

[1] Univ Antwerp, Vis Lab, Dept Phys, B-2020 Antwerp, Belgium

来源：

PATTERN RECOGNITION | 1999年 / 32卷 / 03期

关键词：

texture analysis; classification; color spaces; feature extraction; wavelet signatures;

D O I：

10.1016/S0031-3203(98)00035-1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the last decade, multiscale techniques for gray-level texture analysis have been intensively used. In this paper, we aim to extend these techniques to color images. We introduce wavelet energy-correlation signatures and we derive the transformation of these signatures upon linear color space transformations. Experiments are conducted on a set of 30 natural colored texture images in which color and gray-level texture classification performances are compared. It is demonstrated that the wavelet correlation features contain more information than the intensity or the energy features of each color plane separately. The influence of image representation in color space is evaluated. (C) 1999 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

引用

页码：443 / 451

页数：9

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