Peng Yun, Li De-yu, Lin Jiang-li, Wang Tian-fu, Zheng Chang-qiong, Tang Hong, Rao Li
Space Med Med Eng (Beijing). 2005 Apr;18(2):135-9.
To remove the speckle noise in ultrasonic images by using anisotropic diffusion method.
Based on anisotropic diffusion, a partial differential equation, of which the initial data was the input images, was transformed into differential forms and solved with iterations. The speckle scale function of the equation was modified to make better use in filtering medical ultrasonic images.
By comparing the results with other three filters, the anisotropic diffusion method could smooth the speckles very well and the edge of the image was also clear.
Anisotropic diffusion can remove the speckle noise effectively and has great potential in filtering medical ultrasonic images.
采用各向异性扩散方法去除超声图像中的斑点噪声。
基于各向异性扩散，将以输入图像为初始数据的偏微分方程转化为微分形式并通过迭代求解。对方程的斑点尺度函数进行修改，以便更好地用于医学超声图像滤波。
通过与其他三种滤波器的结果进行比较，各向异性扩散方法能够很好地平滑斑点，图像边缘也清晰。
各向异性扩散能够有效去除斑点噪声，在医学超声图像滤波方面具有很大潜力。
