Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/60151
Title: Content-based image retrieval using shape similarity
Other Titles: 用形状相似性进行基于内容的图象检索
Authors: Ren, J
Zhao, R
Feng, D
Keywords: Content-based retrieval
Feature extraction
Shape similarity
Issue Date: 2000
Publisher: 中國學術期刊 (光盤版) 電子雜誌社
Source: 中国体视学与图像分析 (Chinese journal of stereology and image analysis), Jan. 2000, v. 5, no. 1, p. 44-48 How to cite?
Journal: 中国体视学与图像分析 (Chinese journal of stereology and image analysis) 
Abstract: 状特征由于其简单、直观等优点在基于内容的图象检索技术研究中非常重要。本文在简要介绍了基于内容的检索技术(Content-basedRetrieval,CBR)的基础上,从不变特征提取。相似性度量、检索方式等方面,详细探讨了利用形状相似性进行图象CBR的技术关键。实验结果表明,不变矩和相对面积等特征相结合可以有效地进行形状检测。相信本文的工作,将对构建某些特定应用的系统具有很好的参考价值。
Shape feathes is very essential for content - based image retrieval in terms of smplicity and intuition. In this paper, content - based retrieval (CBR) techniques are introduced firstly; based on which, methods for image CBR using shape similarities are discussed in detail including invariant feature extraction, similarity matching and retrieval mode. The satisfying experimental results showed that the comination of invariant moment and relative area is very efficient and effective for shape retrieval. It is hoped that the investigation will benefit the construction of domain specific applications for reference.
URI: http://hdl.handle.net/10397/60151
ISSN: 1007-1482
DOI: 10.13505/j.1007-1482.2000.01.010
Rights: © 2000 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2000 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research purposes.
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