Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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EO/IR Images Registration using Recursive Localized Normalized Mutual Information and Implementation

재귀적 국소영역 정규상호정보를 이용한 적외선 영상과 가시광 영상의 정합기법 및 구현방법

  • 전윤호 (국방과학연구소 제3기술연구본부 3부)
  • Received : 2013.03.15
  • Accepted : 2013.07.26
  • Published : 2013.08.05
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Abstract

This paper proposes a recursive localized Normalized Mutual Information(NMI) algorithm to overcome shortcomings of the conventional NMI algorithm and the localized NMI algorithm which proposed before. The localized NMI algorithm divides images into few fixed size segments and applies NMI algorithm to each segments. By extension, the proposed algorithm uses variable size segments using its characteristic. Dividing each segment recursively, the algorithm selects a suitable segment size and improves a performance of the image registration. Experimental result shows the performance of the proposed algorithm.

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References

  1. C. E. SHANNON, "A Mathematical Theory of Communication", The Bell System Technical Journal, Vol. 27, pp. 379-423, 1948. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
  2. Barbara Zitova, Jan Flusser, "Image Registration Methods : A Survey", Image and Vision Computing 21, pp. 977-1000, 2003. https://doi.org/10.1016/S0262-8856(03)00137-9
  3. Josien P. W. Pluim, J. B. Antoine Maintz, Max A. Viergever, "Mutual Information Based Registration of Medical Images : A Survey", IEEE Trans. Med Imaging, pp. 986-1004, 2003.
  4. P. Viola and W. M. Wells, "Alignment by Maximization of Mutual Information", International Journal of Computer Vision 24, pp. 137-154, 1997. https://doi.org/10.1023/A:1007958904918
  5. C. Studholme, D. L. G. Hill, D. J. Hawkes, "An Overlap Invariant Entropy Measure of 3D Medical Image Alignment", Pattern Recognition, Vol. 32, No. 1, pp. 79-86, 1999.
  6. 전윤호, 임재완, 우영권, 유현정, "국소영역 정규상호정보를 이용한 적외선 영상과 가시광 영상의 정합", 2012년 한국군사과학기술학회 종합학술대회, pp. 902-905, 2012.
  7. Eddy, S. R., "What is Dynamic Programming?", Nature Biotechnology, 22, 909-910, 2004. https://doi.org/10.1038/nbt0704-909
  8. F. Porikli, "Integral Histogram : A Fast Way to Extract Histograms in Cartesian Spaces", Conference on Computer Vision and Pattern Recognition, 2005.