关键词: 基于内容的图像检索（CBIR）, 肝脏CT图像, 非张量积小波滤波器组, 特征提取, 距离测度

Abstract: This paper presents a Content-Based Image Retrieval（CBIR） method that is used in medical CT images of liver lesions with a Computer-Assisted Diagnosis（CAD）.According to medical CT image characteristics of blurred boundaries and the unconspicuous region，the liver region of interest is extracted by using semi-automatic method.This paper extracts local co-occurrence matrix texture features and intensity features，and uses improved non-tensor product wavelet filter to extract the image global features.Experimental results show that this method can improve the detection rate of lesions.It obtains good results in hepatic hemangioma and HCC which are difficult differential diagnosis both of rich blood supply to tumors.

Key words: Content-Based Image Retrieval（CBIR）, liver CT image, non-tensor product wavelet filter banks, features extracting, distance measure