image segmentation based on Markov Random Fields

I have written codes for image segmentation based on Markov Random Fields.

Description

The file includes two parts,main_seg and 7 functions. Test image maybe any image of Matlab.

• MATLAB release: MATLAB 7 (R14)

[Yunjin Chen]

what's the matter?

[Yunjin Chen]

Error in ==> NeiX at 2
[s,t,K]=size(X);

??? Output argument "XN" (and maybe others) not assigned during call to "C:\Users\chen\Documents\MATLAB\Markov
segmentation\NeiX.m>NeiX".

Error in ==> EnergyOfLabelField at 4
Nei8=imstack2vectors(NeiX(segmentation));

Error in ==> ICM at 11
    E1=EnergyOfLabelField(segmentation,potential,width,height,class_number);

Error in ==> main_seg at 9
seg=ICM(I,class_number,potential,maxIter);

[Tai Fei]

 

[Sk Massich]

the output of NeiX, XN is not assigned.

Neix Function is supposed to assign the potential of a click being well classified depending on its neighbors.

Xu, Xur, Xr, Xdr, Xd Xd1 and X1 store the neighbors labels. Although there's NO comment at all which makes things unlikely to be properly solved,a possible solution is adding a potential function such as the ratio of coincident neighbors with the central pixel.

XN=sum(cat(3,Xu1==X,Xu==X,Xur==X,Xr==X,Xdr==X,Xd==X,Xd1==X,X1==X),3)/8;

However the result obtained is far from what I was expecting.

[Hossein]

Hi there
How can I understand this code and run it?