改进的基于粗糙集的图像平滑

为了取得更好的图像平滑效果,研究了一个改进的基于粗糙集理论的图像平滑方法,即以传统的选择式掩模平滑处理方法的思路为基础,给出了改进的基于粗集理论的图像平滑的具体实现方法。该方法首先通过像素点的RS近似相似度来判断像素所属的掩模,然后对图像进行平滑处理。该方法在完成去除噪声功能的同时,不仅较好地保持了细节,而且增加了图像的对比度,试验结果表明,该方法较传统的预处理方法处理的图像,质量上有所提高。

An Improved Image Smoothing Method Based on Rough Sets

An improved image filtering on Rough Sets is proposed in the paper.The method regards the traditional selective masking smooth filtering method as the thinking foundation.According to looking for the mask a pixel belongs to,then the mask RS precision approximation is used to precede image pixel to smooth whole image.It not only realizes cleaning noise and keeping the boundary, but also increases the contrast of picture and makes vision distinction restored picture to original one be minimum.In another words,while denoising the method keeps good details,increases the contrast degree of the picture,and improves the picture quality than the traditional pre-processing method.