本程序实现灰度图像各向异性扩散(滤波算法，可以用于平滑信号，保留边缘，增强边缘对比度。与普通高斯算法相比，它不会平滑边缘的图像-This procedure to achieve gray-scale image anisotropic diffusion (filtering algorithm can be used to smooth the signal, retaining edge, to enhance the edge contrast. With ordinary Gauss

对李纯明的DRLSE进行了改进 利用各向异性扩散提高了分割弱边缘的能力 改进的高斯滤波代替惩罚项 加快了演化速度 节省了时间-The DRLSE to LiChunMing improved using anisotropic diffusion improve the segmentation of improvement of the ability weak edge gaussian filtering instead of penalty term accelerated evolut

高斯频域滤波，各向异性滤波，低通滤波，作为图像平滑处理(gaussian filter in frequency field)

自适应各向异性高斯滤波去噪，MATLAB代码(Adaptive anisotropic Gauss filter denoising)