Live-Wire-ing the Insight Toolkit with Intelligent Scissors
University of Pennsylvania
| Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/1372 |
Published in The Insight Journal - 2008 January - June.
Submitted by Nick Tustison on 05-22-2008.
Semi-automatic image segmentation algorithms depend on interaction with the user to accurately define a region of interest within an image. Once such method is a dynamic programming approach called {em Intelligent Scissors} developed by Mortenson and Barret cite{Mortensen1992,Mortensen1995,Barrett1996,Barrett1997}. Standard interaction involves the user-placement of a seed point on or near the boundary of the object to be extracted. Using a gradient-based cost function, a {em live-wire} image path from the seed point to a subsequently placed boundary point is determined. As this free point is manipulated with the mouse cursor, the live-wire boundary, which extends from the seed point to the varying free point, locks onto nearby edges within the image. Although some applications do not require such user-interaction (e.g. cite{Hu2001}) warranting inclusion within the toolkit, incorporating live-wire capabilities into ITK-SNAP cite{Yushkevich2006} has been discussed and, therefore, we would like to, as a preliminary step, vet the code within the ITK community.
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| Paper Id: | 230 |
| Categories: | Feature extraction, Image, Segmentation |
| Keywords: | live-wire, intelligent scissors, segmentation, |
| Toolkit: | ITK |
| Revision: | 2 (01-20-2009) |
| Status: | Open for public review |
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| Full download: | .zip |
| Paper: | view, .pdf |
| Source code : | Download |
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Associated Publications
| BioImage Suite: An integrated medical image analysis suite | ||
| MATITK: EXTENDING MATLAB WITH ITK | ||
| I-DO: A Deformable Organisms framework for ITK | ||






