基于全局变量小波变换的中医诊断图像处理方法

Total Variation Wavelet Transform Based Image Processing in TCM Diagnosis

噪声是影响中医疾病诊断图像质量至关重要的因素,噪声的存在使得图像信噪比下降,直接导致图像的某些特征细节淹没在图像噪声中不能被辨识。为了准确提取医学图像中的信息,提出了一种将全局变量最小化方法和小波变换方法相结合的医学图像处理方法,实验证明该方法能有效去除中医诊断图像中的噪声,有利于提高医师对疾病的诊断准确率。

Noise is a very important factor influencing the image quality of TCM diagnosis, which can reduce the ratio of signal to noise, leading to the loss of some characteristic details oi the picture. In order to extract the information from the medical image more accurately, this paper brought up a new processing method of medical image based on the combination of total variation minimum and wavelet transform. Our findings proved that the method could eliminate the noise in the TCM diagnosis pictures effectively, thus increase the doctors＇ diagnostic rates to various diseases.