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

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

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 (Department of Computer Science, University of Arkansas at Little Rock, Little Rock, AR, USA) and Roumiana Kountcheva (T&K Engineering, Sofia, Bulgaria)
DOI: 10.4018/jmdem.2012100101
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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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The multispectral (MS) image is a set of several monochrome images of the same scene, each taken with a different sensor. The wavelengths may be separated by filters, or through the use of instruments that are sensitive to particular wavelengths – including near infrared light, middle infrared light, and far infrared light. Each image contains some additional information, due to changes in the used frequencies for the corresponding band. Images should be considered as one MS image, rather than as a set of monochrome grey level images, in order to fully exploit this additional information. In many cases, MS images allow extraction of additional information, which the human eye fails to capture. Depending on the frequency of light used, different objects could be noticed in the same picture. MS images are widely used for surveillance of large areas of Earth (forests, deserts, etc.), where humans are generally not present. Another very interesting application is the reading of old manuscripts, in which part of the written information could be hidden under daylight; but, by imaging fragments in the infrared, differences in light reflectivity render the texts readable.

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