一种X射线图像增强新方法

New algorithm for X-ray image enhancement

针对X射线图像对比度不高,图像偏暗,边缘模糊,噪声大的问题,提出了一种小波变换和模糊理论相结合的图像增强新方法。首先,将射线图像进行小波分解获得低频子带和高频子带,然后,对含有图像基本面貌特征和主要能量信息的低频子带采用广义模糊算子进行处理,能较好地提升图像对比度和局部亮度,对含有噪声和细节信息的高频子带利用软阈值去噪方法进行去噪处理,同时定义了一种新的增强算子,在去噪的同时进行细节增强,最后,对处理后的图像进行小波重构。实验结果表明:该方法可以有效去除图像噪声,提升图像对比度和清晰度,视觉效果良好。

Aiming at problem of low contrast,edge fog,exist noise of X-ray image,a new X-ray image enhancement algorithm based on wavelet transform and Fuzzy Theory is raised.Firstly,the wavelet transform is adopted to decompose the X-ray image.Secondly,the operator of generalized fuzzy enhancement is applied to low frequency coefficients to improve image contrast and local luminance,the high frequency coefficients are restrained noise by wavelet soft threshold and enhanced by a new enhancement operator.Finally,the inverse wavelet transform is applied to synthesis image.The results show that this algorithm can restrain noise effectively,improve image contrast and definition,which makes the image better.