TY - GEN
T1 - A new distribution metric for image segmentation
AU - Sandhu, Romeil
AU - Georgiou, Tryphon
AU - Tannenbaum, Allen
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Distributions
KW - Geometric active contours
KW - Metrics
KW - Segmentation
UR - http://www.scopus.com/inward/record.url?scp=43449101507&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=43449101507&partnerID=8YFLogxK
U2 - 10.1117/12.769010
DO - 10.1117/12.769010
M3 - Conference contribution
AN - SCOPUS:43449101507
SN - 9780819470980
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2008
T2 - Medical Imaging 2008: Image Processing
Y2 - 17 February 2008 through 19 February 2008
ER -