Stochastic modeling of volume images with a 3-D hidden Markov model

@article{Li2004StochasticMO,
  title={Stochastic modeling of volume images with a 3-D hidden Markov model},
  author={Jia Li and Dhiraj Joshi and James Ze Wang},
  journal={2004 International Conference on Image Processing, 2004. ICIP '04.},
  year={2004},
  volume={4},
  pages={2359-2362 Vol. 4}
}
Over the years, researchers in the image analysis community have successfully used various statistical modeling methods to segment, classify and annotate digital images. In this paper, we propose a 3-D hidden Markov model (HMM) for volume image modeling. A computationally efficient algorithm is developed to estimate the model. The 3-D HMM is applied to volume image segmentation and tested using synthetic images with ground truth. Experiments have demonstrated that 3-D HMM outperforms Gaussian… CONTINUE READING
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