My Algorithms please any one write me the matlab code for the below mentioned algorithms using multispectral image.

My

 Algorithm
(1) Given a multispectral image x = {xi: i = 1, …, N}, where i is the index of pixels, xi = (xid: d = 1, …, D)T is spectral measurement vector of pixel i, D is the dimension of the vector, xid  {1, …, j , …, J} is the components of xi, J is the maximum intensity taken by the components, N is the number of the pixels, T is transposition operation. In statistics based image processing, the image x can be viewed as the configuration of a random vector field X = {Xi: i = 1, …, N}, where Xi = (Xid: d = 1, …, D) T is the random vector defined corresponding to pixel i, and xi is the configuration of the random vector Xi.
(2) Let XNi = {Xi: i  Ni} be the set of spectral measurement vectors for the neighbors of pixel i, where Ni is the set of neighbors of pixel i.
The probability density function (pdf) of Xi is defined to the sum of multivariate Gaussian distributions with means Xi¢ and covariance i¢,

[Walter Roberson]

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