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.