[Insight-users] RGBGibbsPriorFilter

[Barry Branham]

I have a project to segment the left ventricle endo and epi walls from 
MRI images.  After reading the ItkSoftwareGuide.pdf, the book "Insight 
into Images" and various papers on segmentation, several by Dimitris 
Metaxas and Ting Chen. I decided to try the hybrid method using Gibbs 
Prior and Deformable models.

I've found several issues with RGBGibbsPriorFilter:

1. Although advertised as for 2 or 3D, It didn't work on 2D images 
(which I need because my images are 8mm apart).  I had to add an 
ImageDimension check in Allocate() and set m_ImageDepth = 1 if Dim==2.

2. Has ''#define RGBGibbsPriorFilterNeedsDebugging 1' and only does 
energy minimization if not #defined.  So are left with labeling based on 
membership functions from the classifier.

3. Has 'SetTrainingImage()', but doesn't use it.

4. Allocates a 'm_MediumImage', but doesn't use it.

5. Only uses the membership value of the first membership (seed) 
function, so can only use one seed.

6. Calls the classifier Update() function, gets the resulting classified 
image, then relabels it
using membership function 1 (1st seed) so classifier results are ignored.

I conclude that RGBGibbsFilter is unfinished.  I don't understand how 
it's not in the Review category.  Can anyone comment on this or know if 
anyone has done further work on this filter?

Thanks,
Barry Branham