[Insight-developers] The Insight Journal-New Submission

[webmaster at insightsoftwareconsortium.org]

Hello,
A new submission has been added to the Insight Journal.

Title: A Novel Information-Theoretic Point-Set Measure Based on the Jensen-Havrda-Charvat-Tsallis Divergence
Author(s):Tustison N., Awate S., Gee J.
Abstract: 
A novel point-set registration algorithm was proposed in [6] based on minimization of the Jensen-Shannon divergence. In this contribution, we generalize this Jensen-Shannon divergence point-set measure framework to the Jensen-Havrda-Charvat-Tsallis divergence. This generalization permits a fine-tuning of the actual divergence measure between robustness and specificity. The principle contribution of this submission is theitk::JensenHavrdaCharvatTsallisPointSetMetric class which is derived from the existing itk::PointSetToPointSetMetric. In addition, we provide other classes with utility that would extend beyond the point-set measure framework that we provide in this paper. This includes a point-set analogue of the itk::ImageFunction, i.e. itk::PointSetFunction.  From this class we derive the class itk::ManifoldParzenWindowsPointSetFunction which provides a Parzen windowing scheme for learning the local structure of point-sets. Finally, we include the 
itk::DecomposeTensorFunction class which wraps the different vnl matrix decomposition schemes for easy use within ITK. 


Download and Review the paper at:http://www.insight-journal.org/browse/publication/304

Generated by the Insight Journal
You are receiving this email because you asked to be informed by the Insight Journal for new submissions. 
                    
To change your email preference go to http://www.insight-journal.org .