A texture descriptor for browsing and similarity retrieval

被引：111

作者：

Wu, P ^{[1
]}

Manjunath, BS ^{[1
]}

Newsam, S ^{[1
]}

Shin, HD ^{[1
]}

机构：

[1] Univ Calif Santa Barbara, Dept Elect & Comp Engn, Santa Barbara, CA 93106 USA

来源：

SIGNAL PROCESSING-IMAGE COMMUNICATION | 2000年 / 16卷 / 1-2期

基金：

美国国家科学基金会;

关键词：

texture descriptor; similarity retrieval; perceptual browsing; multiresolution decomposition;

D O I：

10.1016/S0923-5965(00)00016-3

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Image texture is useful in image browsing, search and retrieval. A texture descriptor based on a multiresolution decomposition using Gabor wavelets is proposed. The descriptor consists of two parts: a perceptual browsing component (PBC) and a similarity retrieval component (SRC). The extraction methods of both PBC and SRC are based on a multiresolution decomposition using Gabor wavelets. PBC provides a quantitative characterization of the texture's structuredness and directionality for browsing application, and the SRC characterizes the distribution of texture energy in different subbands, and supports similarity retrieval. This representation is quite robust to illumination variations and compares favorably with other texture descriptors for similarity retrieval. Experimental results are provided. (C) 2000 Elsevier Science B.V. All rights reserved.

引用

页码：33 / 43

页数：11

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