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.

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Last Modified: June 28, 2006
2006