Hepatic CT image query using Gabor features

A retrieval scheme for liver computerize tomography (CT) images based on Gabor texture is presented.For each hepatic CT image, we manually delineate abnormal regions within liver area. Then, a continuous Gabor transform is utilized to analyze the texture of the pathology bearing region and extract the corresponding feature vectors. For a given sample image, we compare its feature vector with those of other images. Similar images with the highest rank are retrieved. In experiments, 45 liver CT images are collected, and the effectiveness of Gabor texture for content based retrieval is verified.     

基于独热码有限状态机的斐索干涉解调相位补偿方法

针对相位调制型超弱光纤光栅水听器阵列解调过程中发生的相位翻转现象,提出了一种基于独热码编码的有限状态机相位补偿方法,用来在现场可编程逻辑门阵列中对翻转信号进行实时修正.将解调信号相位及其补偿条件设计在独热码编码的有限状态机中,通过状态机内部状态的即时转移,实现高时钟速率下光纤干涉系统解调信号的相位补偿.对多种相位补偿方式在功能仿真和实验测试中的功耗、占用资源及时序等进行对比分析,结果表明基于独热码状态机的相位补偿方法,不仅可以正确地解决相位翻转问题,保证信号的完整性,同时还可以增加信号解调动态范围,使系统的逻辑延迟降低6%,在水声光纤传感解调系统的高吞吐率和高时钟频率应用环境下具有一定优势.     

Hepatic CT image query using Gabor features

A retrieval scheme for liver computerize tomography (CT) images based on Gabor texture is presented. For each hepatic CT image, we manually delineate abnormal regions within liver area. Then, a continuous Gabor transform is utilized to analyze the texture of the pathology bearing region and extract the corresponding feature vectors. For a given sample image, we compare its feature vector with those of other images. Similar images with the highest rank are retrieved. In experiments, 45 liver CT images are collected, and the effectiveness of Gabor texture for content based retrieval is verified.