模糊权值中值滤波的X射线图像消噪算法  

A New De-noising Method for X-ray Image Using Fuzzy Weighted Median Filter

作　　者：欧阳诚苏[1] 黄永宣[1] 

机构地区：[1]西安交通大学电子与信息工程学院,西安710049

出　　处：《光子学报》2010年第8期1372-1376,共5页Acta Photonica Sinica

基　　金：国家自然科学基金(60774086)资助

摘　　要：针对X射线荧光图像的低亮度及噪音造成的对比度差和图像模糊的问题,提出了一种模糊权值中值滤波的图像消噪算法.先用模糊邻域检测法结合梯度检测法分离原始图像中的噪音点与非噪音点,然后在噪音点的邻域内,计算各像素点与邻域中值的模糊相似度,用相似度作中值的权值,对噪音点邻域进行加权滤波;这种算法使图像的非噪音点保持不变.实验结果表明,本文算法不仅具有较强的消噪能力,而且能够保持图像的边缘细节和纹理信息.In order to slove the low contrast and image blur in X-ray fluorography caused by noise and low illumination conditions,a new noise detection composed of region detection and degree detection is presented to distinguish between noisy pixels and noise-free pixels in the original image.Then the similarity degrees are calculated between each pixel and median value in the region of neighborhood and considered as the weighted value.Eventually,the noisy pixels are improved by the fuzzy weighted median filter while the noise-free pixels are not modified.The experiment results show that the proposed method can suppress the noise and preserve the edge and detail information.

关 键 词：X射线 中值滤波 图像消噪 相似度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]