文献类型：期刊文献

中文题名：基于小波分析的医学影像图像除噪设计及仿真研究

英文题名：Research on Denoising Design and Simulation of Medical Image Processing Based on Wavelet Analysis

作者：陈军[1]

第一作者：陈军

机构：[1]甘肃中医药大学定西校区医学教学部,甘肃定西743000

第一机构：甘肃中医药大学定西校区

年份：2020

卷号：37

期号：5

起止页码：78

中文期刊名：贵州大学学报（自然科学版）

外文期刊名：Journal of Guizhou University:Natural Sciences

收录：CSTPCD

基金：甘肃省高等学校科研资助项目(2018A-176);甘肃中医药大学定西校区科研资助项目(2019XJYB01)。

语种：中文

中文关键词：小波分析;医学影像图像;小波阈值;除噪

外文关键词：wavelet analysis;medical images;wavele threshold;denoise

摘要：针对当前算法在抑制医学影像图像的噪声、精准地确定阈值方面不太理想,本文研究了小波分析算法的数学模型,利用仿真软件对小波分析除噪算法的实现进行了设计研究,探讨了合适的除噪方法。进一步对小波阈值不同门限降噪方法的处理结果进行了仿真比较研究,表明利用小波分析的医学影像图像除噪效果较好,便于实现。
Aiming at the fact that the current algorithm is not ideal in suppressing noise of medical image and accurately determining the threshold,this paper studies the mathematical model of wavelet analysis algorithm,the design research is realized,and the appropriate method of noise cancellation for wavelet analysis of noise cancellation algorithm was discussed by using the simulation software.Further for different threshold wavelet threshold de-noising methods,simulations on the processing results were carried out and comparative studies were conducted.The results show that the denoising effect of medical image using wavelet analysis is good and easy to implement.