Hepatic CT image retrieval based on the combination of Gabor filters and support vector machine

被引：3

作者：

Jiang, Lijun ^{[1
]}

Luo, Yongxing ^{[1
]}

Zhao, Jun ^{[1
]}

Zhuang, Tiange ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Biomed Engn, Shanghai 200240, Peoples R China

来源：

CHINESE OPTICS LETTERS | 2008年 / 6卷 / 07期

关键词：

D O I：

10.3788/COL20080607.0495

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Content-based image retrieval has been an active area of research for more than ten years. Gabor schemes and support vector machine (SVM) method have been proven effective in image representation and classification. In this paper, we propose a retrieval scheme based on Gabor filters and SVMs for hepatic computed tomography (CT) images query. In our experiments, a batch of hepatic CT images containing several types of CT findings are used for the retrieval test. Precision comparison between our scheme and existing methods is presented.

引用

页码：495 / 498

页数：4

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