Out-of-Core segmentation by deformable models

Authors:
Gilson Giraldi;Leandro Schaefer;Ricardo Farias;Rodrigo Silva
Affiliations:
National Laboratory for Scientific Computing, LNCC, Petrópolis, RJ, Brazil;National Laboratory for Scientific Computing, LNCC, Petrópolis, RJ, Brazil;National Laboratory for Scientific Computing, LNCC, Petrópolis, RJ, Brazil;National Laboratory for Scientific Computing, LNCC, Petrópolis, RJ, Brazil
Venue:
WILF'03 Proceedings of the 5th international conference on Fuzzy Logic and Applications
Year:
2003

Citing 7
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Abstract

Memory limitations can lower the performance of segmentation applications for large images or even make it undoable. In this paper we address this problem through out-of-core techniques. Specifically, we integrate the T-Surfaces model, and out-of-core isosurface generation methods in a general framework for segmentation of large image volumes. T-Surfaces is a parametric deformable model based on a triangulation of the image domain, a discrete surface model and an image threshold. Isosurface generation techniques have been implemented through an out-of-core method that uses a k-d-tree-like structures, called meta-cell technique. By using the meta-cell framework, we present an out-of-core version of a segmentation method based on T-Surfaces and isosurface extraction. We demonstrate our out-of-core methodology (Meta-Cell, Isosurfaces, T-Surfaces) for segmentation of grey level images.