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Application of probabilistic imaging techniques to real-time systems

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References

  1. Davies, E.R.: Efficient image analysis techniques for automated visual inspection. In: Barrett, A. (ed.) Computer Vision and Image Processing. Chapman and Hall, London (1991)

  2. Virk, G.S., Tahir, J.M., Parallel processing for real-time flight control. In: Irwin, G.W., Fleming, P.J. (eds.) Transputers in Real-Time Control. Wiley, New York (1992)

  3. Shepp, L.A., Vardi, Y.: Maximum likelihood for emission tomography. IEEE Trans. Med. Imaging 1, 113–122 (1982)

    Google Scholar 

  4. Rockmore, A.J., Makovski, A.: A maximum likelihood approach to emission image reconstruction from projections. IEEE Trans. Nucl. Sci. 23, 11428–11432 (1976)

    Google Scholar 

  5. Veklerov, E., Llacer, J.: The feasibility of images reconstructed with the method of sieves. IEEE Trans. Nucl. Sci. 37(2) (1990)

  6. Veklerov, E., et al.: The MLE reconstruction of a brain phantom using a monte carlo transition matrix and a statistical stopping rule. IEEE Trans. Nucl. Sci. 35(1) (1988)

  7. Veklerov, E., Llacer, J.: Stopping rule for the MLE algorithm based on statistical hypothesis testing. IEEE Trans. Med. Imaging 6, 313–319 (1987)

    Google Scholar 

  8. Hebert, T., et al.: Fast MLE for SPECT using an intermediate polar representation and a stopping criterion. IEEE Trans. Nucl. Sci. 35, Feb (1988)

  9. Sezan, M.I., Stark, H.: Image restoration by the method of convex projections: Part 2. IEEE Trans. Med. Imaging 1, Oct (1982)

  10. Snyder, D.L., Miller, M.I.: The use of sieves to stabilize images produced with the MLE algorithm for emission tomography. IEEE Trans. Nucl. Sci. 32(5) (1985)

  11. Coakley, K.J.: A cross-validation procedure for stopping the EM algorithm and deconvolution of neutron depth profiling spectra. IEEE Trans. Nucl. Sci. 38 (1991)

  12. Johnson, V.E.: A note on stopping rules in EM-ML reconstructions of ECT images. IEEE Trans. Med. Imaging 13(3) (1994)

  13. Kaufman, L.: Implementing and accelerating the EM algorithm for positron emission tomography. IEEE Trans. Med. Imaging 6, Mar (1987)

  14. Rosenfeld, A., Kak, A.C.: Digital picture processing, 2nd edn., vol. 1. Academic Press, New York (1982)

  15. Bouman, C.A., Shapiro, M.: A multiscale random field model for Bayesian image segmentation. IEEE Trans. Image Process. 3(2) (1994)

  16. Wilson, R., Li, C.T.: A class of discrete multiresolution random fields and its application to image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 25(1) (2003)

  17. Sziranyi, T., et al.: Image segmentation using Markov Random field model in fully parallel cellular network architectures. Real-Time Imaging, 6, 195–211 (2000)

    Google Scholar 

  18. Bruno, O.M., Costa, L.F.: effective image segmentation with flexible ICM-based Markov Random fields in distributed systems of personal computers. Real-Time Imaging, 6, pp. 283–295 (2000)

    Google Scholar 

  19. Baykut, A., et al.: Real-time defect inspection of textured surfaces. Real-Time Imaging, 6, pp. 17–27 (2000)

    Google Scholar 

  20. Nuyts, J., et al.: Comparison between MAP and postprocessed ML for image reconstruction in emission tomography when anatomical knowledge is available. IEEE Trans. Med. Imaging, 24(5) (2005)

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Correspondence to Eugene Veklerov.

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Veklerov, E. Application of probabilistic imaging techniques to real-time systems. J Real-Time Image Proc 1, 53–56 (2006). https://doi.org/10.1007/s11554-006-0007-8

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  • DOI: https://doi.org/10.1007/s11554-006-0007-8

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