Hepatic CT image query based on threshold-based classification scheme with gabor features

被引：0

作者：

Jiang L.-J. ^{[1
]}

Luo Y.-X. ^{[1
]}

Zhao J. ^{[1
]}

Zhuang T.-G. ^{[1
]}

机构：

[1] Department of Biomedical Engineering, Medical School, Shanghai Jiaotong University

来源：

Journal of Shanghai Jiaotong University (Science) | 2008年 / 13 E卷 / 06期

关键词：

Content based image retrieval; Gabor features; Hepatic computed tomography (CT) images; Support vector machines (SVM); Threshold-based scheme;

D O I：

10.1007/s12204-008-0753-9

中图分类号：

学科分类号：

摘要：

Hepatic computed tomography (CT) images with Gabor function were analyzed. Then a threshold-based classification scheme was proposed using Gabor features and proceeded with the retrieval of the hepatic CT images. In our experiments, a batch of hepatic CT images containing several types of CT findings was used and compared with the Zhao's image classification scheme, support vector machines (SVM) scheme and threshold-based scheme. Copyright.

引用

页码：753 / 758

页数：5

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