包括图像分析的四部分代码：matlab扩散和高斯函数，线性扩散，线性复扩散，非线性扩散。-It contains four parts：

[1]MATLAB function:diffusion.m gauss.m

[2]Linear diffusion

Applying linear diffusion to images creating linear scale-space.

MATLAB code:　demo_lin.m

Image: haifa1.bmp

[3]Linear complex diffusion　

Applying linear complex diffusion creating Gaussian and Laplacian scale-spaces. MATLAB code: demo_cmplin.m

[4]Nonlinear diffusions:

Perona-Malik ["Anisotropic diffusion"]

Catte et al. regularization of P-M

Complex ramp-preserving diffusion

Nonlinear edge preserving diffusions.The classical Perona-Malik process: the value of the diffusion coefficient is reduced near edges estimated by the first derivative. Best applied to step edges. A regularized version by Catte et al- the gradient estimation for controlling the process is smoothed by a Gaussian. Proved to be mathematically well-posed. Ramp preserving complex diffusion- best for ramp-type edges. Results are smoother with almost no staircasing effects.

MATLAB code: demo_nldif.m

Image: ct_scan.bmp