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卷 / 6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
收藏
页码：753 / 758
页数：5
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