Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty matlabcode?

can any one mail me the source code of multivariate image segmentation using semantic region growing with adaptive edge penalty matlabcode?

IRGS calculates the gradient magnitude image using a traditional
gradient operator [8], which is only applicable to
univariate input images. MIRGS calculates gradient from
multivariate input images using a vector gradient method
[34], which extends watershed transform to multivariate
imagery.
• MIRGS generalizes the univariate feature model of IRGS
into its multivariate counterpart, which is further normalized
by the feature space dimension.
• MIRGS generalizes the univariate Fisher criterion used by
IRGS to adjust the spatial context model’s parameter to its
multivariate counterpart used by MIRGS.
MIRGS inherits many attractive properties from the univariate
IRGS:
• MIRGS uses a monotonically decreasing edge penalty
function with the region-level MLL model.
• MIRGS changes edge penalty at each iteration to generate
a sequence of spatial context models.
• MIRGS performs on a hierarchical RAG with the
bottom-up nonincreasing vertex number, which gradually
reduces the solution space size to improve segmentation
effectiveness.

[Image Analyst]

Sounds like the abstract to a paper. Do you have a MATLAB question? If it's "Does anyone have any MATLAB code that does this?" I can pretty much guarantee that the answer will be no, except possibly the author(s).

Answer 1

[Charles Gignac]

I collaborated with the team who developped that tool and I can tell you that the code is actually in IDL, not in Matlab.