基于小波系数的双变量模型中医诊断图像处理方法

THE METHOD OF THE T.C.M DIAGNOSIS IMAGE PROCESSING BASED ON DOUBLE-VARIANT MODEL OF WAVELET COEFFICIENT

中医四诊即望、闻、问、切,是中医用于诊断疾病的四个基本方法,它们是中医正确辨证和有效治疗的前提。对中医诊断图像进行去噪可以提高医学图像的信息利用率,小波变换是目前最新的时频分析工具,是医学图像去噪的强有力处理工具。提出了一种基于层内和层间相关性的双变量模型小波收缩图像处理方法。实验证明,该图像处理方法能有效去除中医诊断图像中的噪声。

The four diagnostic methods,namely inspection,auscultation and olfaction,inquiry, and pulse taking and palpation,refer to the four basic procedures used in diseases diagnosis. They are the presuppositions of correct differentiation and effective treatment in T. C. M. The message utilization ratio of medical images is improved by de-noising T. C. M. diagnosis images. Wavelet transform is the latest time-frequency analysis tool,and it is the most powerful tool for medical image de-noising. A T. C. M. diagnosis image processing method based on double-va- riant model of wavelet coefficient is proposed. The experimental result proves that this method can eliminate the noise of T. C. M. diagnosis images effectively.