Hepatic CT Image Query Based on Threshold-based Classification Scheme with Gabor Features

被引：0

作者：

蒋历军 ^{[1
]}

罗永兴 ^{[1
]}

赵俊 ^{[1
]}

庄天戈 ^{[1
]}

机构：

[1] Department of Biomedical Engineering,Medical School,Shanghai Jiaotong University,Shanghai 200025,China

来源：

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

基金：

中国国家自然科学基金;

关键词：

content based image retrieval; Gabor features; threshold-based scheme; support vector machines(SVM); hepatic computed tomography(CT) images;

D O I：

暂无

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

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.

引用

页码：753 / 758

页数：6

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