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

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

Stuart Rubin, Roumen Kountchev, Mariofanna Milanova, Roumiana Kountcheva
Copyright: © 2012 |Volume: 3 |Issue: 4 |Pages: 30
ISSN: 1947-8534|EISSN: 1947-8542|EISBN13: 9781466613607|DOI: 10.4018/jmdem.2012100101
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MLA

Rubin, Stuart, et al. "Multispectral Image Compression, Intelligent Analysis, and Hierarchical Search in Image Databases." IJMDEM vol.3, no.4 2012: pp.1-30. http://doi.org/10.4018/jmdem.2012100101

APA

Rubin, S., Kountchev, R., Milanova, M., & Kountcheva, R. (2012). Multispectral Image Compression, Intelligent Analysis, and Hierarchical Search in Image Databases. International Journal of Multimedia Data Engineering and Management (IJMDEM), 3(4), 1-30. http://doi.org/10.4018/jmdem.2012100101

Chicago

Rubin, Stuart, et al. "Multispectral Image Compression, Intelligent Analysis, and Hierarchical Search in Image Databases," International Journal of Multimedia Data Engineering and Management (IJMDEM) 3, no.4: 1-30. http://doi.org/10.4018/jmdem.2012100101

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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.

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