A New Distribution Metric for Image Segmentation

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/28595

Title: A New Distribution Metric for Image Segmentation
Author: Sandhu, Romeil ; Georgiou, Tryphon T. ; Tannenbaum, Allen R.
Abstract: In this paper, we present a new distribution metric for image segmentation that arises as a result in prediction theory. Forming a natural geodesic, our metric quantifies “distance” for two density functionals as the standard deviation of the difference between logarithms of those distributions. Using level set methods, we incorporate an energy model based on the metric into the Geometric Active Contour framework. Moreover, we briefly provide a theoretical comparison between the popular Fisher Information metric, from which the Bhattacharyya distance originates, with the newly proposed similarity metric. In doing so, we demonstrate that segmentation results are directly impacted by the type of metric used. Specifically, we qualitatively compare the Bhattacharyya distance and our algorithm on the Kaposi Sarcoma, a pathology that infects the skin. We also demonstrate the algorithm on several challenging medical images, which further ensure the viability of the metric in the context of image segmentation.
Description: ©2008 SPIE--The International Society for Optical Engineering. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. The electronic version of this article is the complete one and can be found online at: http://dx.doi.org/10.1117/12.769010 Presented at Medical Imaging 2008: Image Processing, February 17-19, 2008, San Diego, CA, USA. DOI: 10.1117/12.769010
Type: Proceedings
URI: http://hdl.handle.net/1853/28595
ISSN: 0277-786X
Citation: Romeil Sandhua, Tryphon Georgiou, and Allen Tannenbaum, "A New Distribution Metric for Image Segmentation," Medical Imaging 2008: Image Processing, Joseph M. Reinhardt, Josien P. W. Pluim, Editors, Proc. SPIE, Vol. 6914, 691404 (2008)
Date: 2008-02
Contributor: University of Minnesota. Dept. of Electrical and Computer Engineering
Georgia Institute of Technology. School of Electrical and Computer Engineering
Publisher: Georgia Institute of Technology
Society of Photo-Optical Instrumentation Engineers
Subject: Geometric active contours
Distributions
Segmentation
Metrics

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