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Bayesian methods for image segmentation

  • Large Datasets in Materials Science, Part II
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Abstract

Bayesian segmentation of images shows great promise for the analysis of materials image datasets. This paper discusses the Bayesian segmentation technique and provides examples of its use.

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Authors and Affiliations

  1. School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA

    Mary Comer & Charles A. Bouman

  2. Carnegie Mellon University, Pittsburgh, PA, USA

    Marc De Graef

  3. Air Force Research Laboratory, AFRL/RXMMD Wright-Patterson AFB, Wright-Patterson AFB, OH, USA

    Jeff P. Simmons

Authors
  1. Mary Comer
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  2. Charles A. Bouman
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  3. Marc De Graef
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  4. Jeff P. Simmons
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Corresponding author

Correspondence to Mary Comer.

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Comer, M., Bouman, C.A., De Graef, M. et al. Bayesian methods for image segmentation. JOM 63, 55–57 (2011). https://doi.org/10.1007/s11837-011-0113-3

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  • DOI: https://doi.org/10.1007/s11837-011-0113-3

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