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

作　　者：蒋历军 罗永兴 赵俊 庄天戈 

机构地区：[1]Department of Biomedical Engineering,Medical School,Shanghai Jiaotong University,Shanghai 200025,China

出　　处：《Journal of Shanghai Jiaotong university(Science)》2008年第6期753-758,共6页上海交通大学学报（英文版）

基　　金：the National Natural Science Foundation of China (No. 30770589)

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.Hepatic computed tomography （CT） images with Gabor function were analyzed. Then a thresholdbased 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.

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

分 类 号：R318[医药卫生—生物医学工程] TN911.73[医药卫生—基础医学]