基于改进高斯滤波的医学图像边缘增强

Edge enhancement of medical image based on improved Gaussian filter

医学图像的边缘包含了图像的很多重要信息,对医学诊断的效率和精准性影响较大,文中研究了一种医学图像边缘增强的方法。为了在图像去噪阶段保留更多的图像细节信息,文中在传统高斯滤波算法基础上提出了一种标准差选取自适应的滤波算法。在图像增强阶段,利用传统的拉普拉斯算子结合强度权重控制图像增强的效果。经过算法分析和实验,验证了两种算法的结合提高了去噪效果,有效保留了图像的边缘细节信息,能够实现医学图像的边缘增强。

The edge of medical image contains many important information of the image,which has great influence on the efficiency and accuracy of medical diagnosis.A method to enhance the edge of medical image is studied.In order to preserve more detail information in the stage of image denoising,an adaptive filtering algorithm is proposed based on the traditional Gaussian filtering algorithm.In the stage of image enhancement,the traditional Laplace operator combined with intensity weight is used to control the effect of image enhancement.Through algorithm analysis and experiments,it is verified that the combination of the two algorithms improves the denoising effect and preserves the edge details of the image effectively.It is proved that it can realize the edge enhancement of the medical image.