摘要
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,是中医诊断图像去噪的强有力处理工具。本文提出了一种基于小波层间相关性的中医诊断图像去噪方法,实验证明,该去噪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 olfacfion, inquiry, and pulse taking and palpation, refer to the four basic procedures used in diagnosing diseases, They are the presuppositions of correct differentiation and effective treatment in TCM. It can improve the message utilization ratio of the medical image to de-noise the T.C.M Diagnosis Image, the wavelet transform is the latest time-frequency analysis tool, it is the most powerful tool for image de-noising. Propose a de-noising method ,which is based on the relevance of wavelet. The experiment proved that this method can eliminate the noise of T.C.M Diagnosis Image efficiently.
基金
上海市教育委员会上海高校选拔培养优秀青年教师科研专项基金
关键词
中医诊断图像
小波变换
图像去噪
T.C.M Diagnosis image
Wavelet transform
Image de-noising
