2-D Hybrid Transform and Feature Extracting Algorithm of Fatty Liver Ultrasonic Images

摘要：

In the fatty liver ultrasonic images,the desired signal mixed with system noise in spatial domain and frequency domain,and the system noise belongs to a multiplication interference,which make it difficult to extract the fatty liver scatters from a given ultrasonic image.However,the dimensions and the density of the scatters are vital for determining the degree of the fatty liver.To solve the problem,we develop an algorithm based on hybrid 2-D transform,discrete Fourier transform-discrete wavelet transform (2-D DFT-DWT),to extract the liver scatters in the liver scatters from different directions in logarithm-frequency domain.Real processing experiments for the fatty liver ultrasound images verify the proposed feature extracting algorithm to be valid.

关键词： 2-D hybrid transform partial DFT partial DWT processing in logarithm-frequency domain

作者: Yang Xiao Chao Zhang

作者单位: Institute of Information Science,Beijing Jiaotong University Beijing 100044,P.R.China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）