A Comparative Study of Invariant Descriptors for Shape Retrieval

被引：0

作者：

Amanatiadis, A. ^{[1
]}

Kaburlasos, V. G. ^{[2
]}

Gasteratos, A. ^{[3
]}

Papadakis, S. E. ^{[2
]}

机构：

[1] Democritus Univ Thrace, Dept Elect & Comp Engn, Elect Lab, 12 Vas Sofias Str, GR-67100 Xanthi, Greece

[2] Technol Educ Inst Kavala, Dept Ind Informat, Div Comp Syst, Kavala GR-65404, Greece

[3] Democritus Univ Thrace, Dept Prod & Management Engn, Lab Robot & Automat, GR-67100 Xanthi, Greece

来源：

IST: 2009 IEEE INTERNATIONAL WORKSHOP ON IMAGING SYSTEMS AND TECHNIQUES | 2009年

关键词：

Shape representation; image retrieval system; shape matching; invariant descriptors; RECOGNITION;

D O I：

暂无

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：

This paper presents a comparative study between scale, rotation and translation invariant descriptors for shape representation and retrieval. Specifically, we studied Fourier, angular radial transform and image moment descriptors for shape representation. Since shape is one of the most widely used image feature exploited in content-based image retrieval systems, we studied for each descriptor, the number of coefficients needed for indexing and their retrieval performance. Results showed that moment descriptors present the best performance in both terms of shape representation quality as well as in the amount of required coefficients.

引用

页码：386 / +

页数：2

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