A Stochastic Modeling Approach to 3-D Image Modeling
Dhiraj Joshi, Jia Li, James Z. Wang
The Pennsylvania State University
Abstract:
Statistical modeling methods have been successfully
used to segment, classify, and annotate digital images, over
the years. In this paper, we present a 3-D hidden Markov model
(HMM) for volume image modeling. The 3-D HMMis applied to
volume image segmentation and tested using synthetic images
with ground truth. Potential applications to 3-D biomedical
image analysis are also discussed.
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Citation:
Dhiraj Joshi, Jia Li and James Z. Wang, ``A Stochastic Modeling
Approach to 3-D Image Modeling,'' Proceedings of the IEEE/NLM Life
Science Systems and Application Workshop, pp. 120-121, IEEE, Bethesda, MD,
July 2006.
Copyright 2006 IEEE.
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Last Modified:
June 28, 2006
© 2006