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SS*:一种嵌入视觉特性的多维图像索引算法
引用本文:龚声蓉,王朝晖.SS*:一种嵌入视觉特性的多维图像索引算法[J].微电子学与计算机,2004,21(9):87-90,95.
作者姓名:龚声蓉  王朝晖
作者单位:苏州大学计算机科学与技术学院,苏州,215006
基金项目:江苏省自然科学基金资助项目(BK2003029)
摘    要:图像检索因信息量巨大,查询速度至关重要。一种有效的方法是对图像特征进行多维索引,然后按多维索引算法检索。但是,现有的多维索引算法并不是专门针对图像数据库设计的,没有考虑图像的视觉特性,检索性能不理想。文章针对图像信息的特点,结合SS多维索引算法,设计了一种新的基于内容的图像检索的多维索引算法——SS^*算法。实验表明,该算法对图像检索是有效的。

关 键 词:图像检索  多维索引  相似性度量  视觉信息
文章编号:1000-7180(2004)09-087-04

SS*:A Multi-Dimension Image Index Algorithm Embedded Visual Features
GONG Sheng-rong,WANG Zhao-hui.SS*:A Multi-Dimension Image Index Algorithm Embedded Visual Features[J].Microelectronics & Computer,2004,21(9):87-90,95.
Authors:GONG Sheng-rong  WANG Zhao-hui
Abstract:As information is vast, the query speed in image retrieval system is important. The compression to feature dimension can improve the speed, but the retrieval performance can not been improved evidently. An effective method is that index to image features and retrieve by the multiple dimension index. However,the multiple dimension index method existed is not satisfied to image retrieval very well as the visual features are not considered. In this paper, a multi-dimension image index algorithm embedded visual features is designed. The experiments have showed the algorithm is efficient to image retrieval.
Keywords:Image retrieval  Multiple dimension index  Measurement comparability  Visual features
本文献已被 CNKI 维普 万方数据 等数据库收录!
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