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Multispectral Image Compression, Intelligent Analysis, and Hierarchical Search in Image Databases

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  • Stuart Rubin

    (Space and Naval Warfare Systems Center (SSC-PAC), San Diego, CA, USA)

  • Roumen Kountchev

    (Radiocommunications Department, Technical University of Sofia, Sofia, Bulgaria)

  • Mariofanna Milanova

    (University of Arkansas at Little Rock, USA)

  • Roumiana Kountcheva

    (T&K Engineering, Sofia, Bulgaria)

Abstract

In this paper, a new approach is offered for the efficient processing and analysis of groups of multispectral images of the same objects. It comprises several tools: the Modified Inverse Pyramid Decomposition; the invariant object representation with Modified Mellin-Fourier transform, and the hierarchical search in image databases, for which the invariant representation is used. The new approach permits the definition of a large number of parameters, which are used for object analysis and evaluation. When combined with the KASER expert system, this approach yields a flexible tool for the analysis of multispectral images of the same object.

Suggested Citation

  • Stuart Rubin & Roumen Kountchev & Mariofanna Milanova & Roumiana Kountcheva, 2012. "Multispectral Image Compression, Intelligent Analysis, and Hierarchical Search in Image Databases," International Journal of Multimedia Data Engineering and Management (IJMDEM), IGI Global, vol. 3(4), pages 1-30, October.
    • Handle: RePEc:igg:jmdem0:v:3:y:2012:i:4:p:1-30
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