基于改进同态滤波的医用X光图像增强算法

针对医用X光图像对常规图像增强算法较敏感、易失真的特点,提出一种基于改进同态滤波的X光图像增强算法.算法将X光图像特性及同态滤波方法在图像增强上的优势结合起来,构建基于医用X线图频域的同态滤波器,通过指定最大增频位置及最高增益系数2个控制参数实现同态滤波控制,在不削减低频信号的基础上适当放大中高频信号,保留X光图像暗区易丢失的灰度及细纹信息,同时突出重要的组织边缘及纹理特征.实验证明,该算法失真率低、操作简便且运行效率高,对医用X光图具有较理想的增晰效果.

X-ray Medical Image Enhancement Based on Improved Homomorphic Filtering

In this paper,an enhancement method based on X-ray medical image is presented.It combines characteristics of X-ray image with the advantage of homomorphic filtering enhancement,puts forward a hnomomorphic filter based on the frequency field fo X-ray medical image,and carries out the filtering control by giving the position and coefficient of maximum gain.The medium-high frequency is amplified properly without lessening the low frequency signal.The important organization edge and texture can be strengthened the flimsy grey and texture information in the dark area is kept well.Experimental results show that the algorithm has low distortion and high operational efficiency,it is feasible and achieves nice enhancement result for X-ray medical image.