Multi-seed segmentation of tomographic volumes based on fuzzy connectedness

Authors:
Silvana G. Dellepiane;Elena Angiati;Irene Minetti
Affiliations:
University of Genoa, DIBE, Genova, Italy;University of Genoa, DIBE, Genova, Italy;University of Genoa, DIBE, Genova, Italy
Venue:
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Year:
2010

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Abstract

The method originally proposed for fuzzy intensity-connectedness and single-seed segmentation is here extended to a multi-seed 3D segmentation purpose. Various objects can be segmented from isotropic volumes of any type. No parameters are required for the processing. A membership value is associated with the final segmentation result, so that user knows the reliability degree for each segmented voxel. Performance evaluation is presented as deals with the results obtained from two standard image databases of MRI volumes.