一种基于模糊MSR的医学X光图像增强算法

由于医学X光图像中存在信噪比低、清晰度差、对比度低等缺点，而普通的图像增强算法很难在增强图像细节特征的同时对图像的背景噪声进行抑制。针对上述问题，将模糊多尺度Retinex算法引入医学图像处理的增强算法中：先计算图像中每个像素点的模糊度，再结合模糊度采用多尺度Retinex算法对图像进行增强。实验表明该算法比直方图均衡、同态滤波以及普通的多尺度Retinex算法增强图像的效果更明显，并能在增强图像的同时，有效抑制图像的背景噪声。

Medical X-ray Image Enhancement Algorithm Based on Fuzzy Multi-scale Retinex

The medical X-my radiography images always have the character of low Signal-Noise Ratio （SNR） ,bad definition and con- trast, and it is difficult to reduce the noise while enhancing the detail characters by the custom image enhancement algorithm. According to the problems mentioned above,Fuzzy Multi-Scale Retinex （FMSR） algorithm was applied to medical image enhancement. Firstly the fuzzy degree of each pixel was calculated,then the MSR algorithm was applied combined with fuzzy degree to enhance the image. Experi- ment shows that compared with the custom image enhancement algorithm as histogram equalization, homomorphic filtering and the cus- tom MSR algorithm, this algorithm can get a better performance, and the noise can be efficiently reduced while enhancing the image.