Loopy Belief Propagation on MRFs in ITK

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Loopy Belief Propagation on MRFs in ITK

David Doria “Loopy Belief Propagation on MRFs in ITK “. The Insight Journal, March 2011

 

This code provides a base implementation of Loopy Belief Propagation on MRFs in ITK. We use binary image denoising as an example problem to demonstrate this code. This document is intended only to describe the implementation, not the theory. A complete tutorial on loopy belief propagation on MRFs is available here.  The latest version of the code is available here.

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2 Comments

  1. Ankur November 2, 2011 at 5:58 am - Reply

    Hi David,

    I had a question on your Loopy BP for MRFs. Does your code work with only one cycle in the MRF graph? Or does it work with multiple cycles in the MRF graph? If not, what would you suggest doing for multiple-cycles in the MRF graph?

    Thank you,
    Ankur

  2. admin November 2, 2011 at 1:07 pm - Reply

    Hi Ankur,

    If I remember correctly, the MRF is just a grid graph full of bidirectional edges. So I’m not sure what you mean by ‘cycles’ or ‘multiple cycles’ here?

    David

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