You are here

Segmentation

PCVLab has been angaged in segmentation problem for a variety of sensory information including,

  • RGB images,
  • Multi-spectral images,
  • Hyperspectral images, 
  • Multi-physics/multi-dimensional data for nuclear plant management.

We have predominantly worked on developing stochastic methods ranging from mode-seeking to bayesian inference.

Contributors:

  • Alper Yilmaz
  • Kyoungjin Park
  • Lei Ding
  • Daniya Zamalieva
  • Diego Mandelli

Related Articles

  1. D. Zamalieva, A. Yilmaz and T. Aldemir. 2013. A probabilistic model for online scenario labeling in dynamic event tree generation. Journal of Reliability Engineering and System Safety, Vol. 120 p. 18-26.
  2. D. Zamalieva, A. Yilmaz and T. Aldemir. 2013. Scenario Labeling using a Hidden Markov Model for Assessment of Nuclear Plant State. Journal of Reliability Engineering & System Safety, Vol. 110 p. 1-13.
  3. D. Zamalieva, Z. Jankovsky, A. Yilmaz, T. Aldemir and R. Denning. 2013. Automated Selection of Number of Clusters for Determining Proliferation Resistance Measures. Proc. of Probabilistic Safety Assessment and Management. Honolulu, Hawaii (June)
  4. D. Mandelli, C. Smith, A. Yilmaz and T. Aldemir. 2013. Mining nuclear transient data through symbolic conversion. International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA), 2013.

  5. D. Zamalieva, A. Yilmaz, T. Aldemir and R. Denning. 2013. Online labeling of dynamic event tree scenarios using Observable Operator Models. International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA).

  6. Z. Jankovsky, D. Zamalieva, A. Yilmaz, R. Denning and T. Aldemir. 2013. A clustering analysis of probabilistic proliferation resistance measures in an example nuclear fuel system. International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA).

  7. D. Zamalieva, A. Yilmaz and T. Aldemir. 2013. Thresholding strategies for Dynamic Event Tree online labeling with Hidden Markov Models. American Nuclear Society Winter Meeting (ANS).

  8. Z. Jankovsky, D. Zamalieva, R. Denning, A. Yilmaz and T. Aldemir. 2013. A Comparison of Various Clustering Schemes for Proliferation Resistance Measures. American Nuclear Society Winter Meeting (ANS).

  9. K. Mitra, J. Melvin, S. Chang, K. Park, A. Yilmaz, S. Melvin and R. Xu. 2012. Indocyanine Green loaded microballoons for biliary imaging in cholecystectomy. Journal of Biomedical Optics. Vol. 17. No. 4 pp.116025.

  10. L. Ding, A. Yilmaz and R. Yan. 2011. Interactive Image Segmentation Using Dirichlet Process Multiple View Learning. IEEE Trans. on Image Processing. Vol. 21. No.4, pp. 2119-2129.

  11. K. Metzroth, D. Mandelli, A. Yilmaz, R. Denning and T. Aldemir. 2011. A Comparison of Scenario Binning Methods for Dynamic Probabilistic Risk Assessment. In: European Safety and Reliability Conference. Troyes, France. (September)

  12. D. Mandelli, A. Yilmaz and T. Aldemir. 2011. Scenario Analysis and PRA: Overview and Lessons Learned. In: European Safety and Reliability Conference. Troyes, France. (September)

  13. D. Zamalieva, A. Yilmaz and T. Aldemir. 2011. A Probabilistic Model for Online Scenario Labeling in Dynamic Event Tree Generation. In: European Safety and Reliability Conference. Troyes, France. (September)

  14. D. Mandelli, A. Yilmaz and T. Aldemir. 2011. Data Processing Methodologies Applied to Dynamic PRA: an Overview. In: Int. Topical Meeting on Probabilistic Safety Assessment and Analysis. Wilmington, NC. (March)

  15. D. Zamalieva, A. Yilmaz and T. Aldemir. 2011. Online State Estimation in Dynamic Event Trees for a Level Controller Dataset. In: International Topical Meeting on Probabilistic Safety Assessment and Analysis. LaGrange Park, IL. (March)

  16. D. Mandelli, A. Yilmaz, T. Aldemir. 2011. Clustering Scenarios on Manifolds. In: Proceedings of the American Nuclear Society.

  17. L. Ding and A. Yilmaz. 2010. Enhancing Interactive Image Segmentation with Automatic Label Set Augmentation. In: Proc. of European Conference on Computer Vision (ECCV). Crete, Greece. (September): 1-10.
  18. L. Ding and A. Yilmaz. 2010. Interactive image segmentation using probabilistic hypergraphs. Pattern Recognition. Vol. 43, no. 5: 1863-1873.
  19. D. Mandelli, A. Yilmaz, K. Metzroth, R. Denning  and T. Aldemir. 2010. Scenario Aggregation and Analysis via Mean-Shift Methodology. In: Int. Congress on Advances in Nuclear Power Plants. San Diego, CA. (June): 990-994.

  20. D. Mandelli, A. Yilmaz, K. Metzroth, T. Aldemir and R. Denning. 2010. DET and Scenario Aggregation: A Sensitivity Analysis. In: Proc. of Verification and Validation for Nuclear Systems Analysis Workshop, Raleigh, NC. (June).

  21. T. Aldemir, A. Yilmaz and D. Mandelli. 2010. Scenario Aggregation in Dynamic PRA Uncertainty Quantification. In: Proceedings of the American Nuclear Society. Vol. 102. San Diego, CA. (June): 246-249.

  22. D. Mandelli, A. Yilmaz, T. Aldemir and R. Denning. 2010. Scenario Aggregation and Analysis via Mean-Shift Methodology. In: Proc. of Probabilistic Safety Assessment and Management. Seattle, WA. (June).

  23. D. Mandelli, K. Metzroth, A. Yilmaz, R. Denning and T. Aldemir. 2010. Probabilistic Clustering for Scenario Analysis. In: Proceedings of the American Nuclear Society. Vol. 103. Las Vegas, NV. (June): 371-374.

  24. L. Ding and A. Yilmaz. 2008. Image Segmentation as Learning on Hypergraphs. In: Int. Conf. on Machine Learning and Applications (ICMLA). San Diego, CA, USA. (December): 247-252.