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

Stuart Rubin, Roumen Kountchev, Mariofanna Milanova and Roumiana Kountcheva
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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

International Journal of Multimedia Data Engineering and Management (IJMDEM), 2012, vol. 3, issue 4, 1-30

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.

Date: 2012
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