文献类型：期刊文献

中文题名：基于改进加权均值滤波的医学影像图像除噪研究

英文题名：Research of Medical Image Denoising Based on Improved Weighted Mean Filtering

作者：李文娟[1];陈军[1];张永刚[1];石新民[1]

第一作者：李文娟

机构：[1]甘肃中医药大学定西校区,甘肃定西743000

第一机构：甘肃中医药大学定西校区

年份：2022

卷号：49

期号：1

起止页码：30

中文期刊名：辽宁大学学报（自然科学版）

外文期刊名：Journal of Liaoning University：Natural Sciences Edition

基金：甘肃省科技计划资助(20JR10RA327)。

语种：中文

中文关键词：除噪;均值滤波;医学影像;加权;窗口

外文关键词：denoise;mean filter;medical imgage;weighting;windows

摘要：针对均值滤波算法对含有椒盐噪声和高斯噪声的医学影像图像除噪不理想的问题,本文提出了改进加权均值滤波算法,该算法把滤波窗口中每个像素点的灰度值与计算得到的相应权值运算后作为其中心点的输出值,并运用该算法对含有椒盐噪声和高斯噪声的医学影像图像进行除噪研究.实验表明该算法对椒盐噪声和高斯噪声具有较强的抑制力,并且除噪后的医学影像图像的细节保真度高,质量效果比单纯中值滤波和均值滤波好.
According to the problem of the mean filtering algorithm for the medical images with salt and pepper noise and Gaussian noise,the improved weighted mean filtering algorithm is proposed to calculate the gray value of each pixel in the filter window as the output value of its center point.And medical image denoising of the contained salt and pepper noise and Gaussian noise is researched using the improved weighted average filtering.Experiments show that the model has strong inhibition for salt and pepper noise and Gaussian noise,and denoised medical image fidelity is high,the details of the image quality effect is better than pure median filter and mean filter.