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基于小波的医学图像去噪方法研究
引用本文:黄丽芳,方志军.基于小波的医学图像去噪方法研究[J].适用技术之窗,2010(7):44-46.
作者姓名:黄丽芳  方志军
作者单位:[1]九江市第一人民医院信息科,江西九江332000 [2]南昌陆军学院,江西南昌330103
摘    要:为有效地表现医学图像原有信息中有用的信息,降低医学图像受噪声干扰的现象,减少诊断误差,本文将现有的小波图像去噪方法运用于医学图像,并对各种方法进行实验分析比较,以提供医学参考。实验发现,与较常用的均值滤波与中值滤波相比,小波去噪方法有效提高了医学图像的去噪PSNR值。

关 键 词:小波变换  医学图像  去噪

Research on Medical Image Denoising Based on Wavelet Transform
Huang Lifang Fang Zhijun.Research on Medical Image Denoising Based on Wavelet Transform[J].Science & Technology Plaza,2010(7):44-46.
Authors:Huang Lifang Fang Zhijun
Affiliation:Huang Lifang Fang Zhijun(1.Information Section,The First People's Hospital of Jiujiang,Jiangxi Jiujiang 332000;2.Nanchang Army College,Jiangxi Nanchang 330103)
Abstract:To make full useful information of the medical image,reduce the noise disturbance and minimize the error of diagnosis,de-noising methods based on wavelet are used in medical image in this paper.The proposed methods are studied both experimentally and analytically.The experiment results showed that wavelet de-noising method are more effective compared with the mean filter and the median filter.
Keywords:Wavelet Transform  Medical Image  Denoising
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