Multispectral Image Compression, Intelligent Analysis, and Hierarchical Search in Image Databases-Reference-Cited by-同舟云学术

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

Published:2012-10 Issue:4 Volume:3 Page:1-30
ISSN:1947-8534
Container-title:International Journal of Multimedia Data Engineering and Management
language:en
Short-container-title:

Author:

Rubin Stuart¹,Kountchev Roumen²,Milanova Mariofanna³^ORCID,Kountcheva Roumiana⁴

Affiliation:

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

2. Radiocommunications Department, Technical University of Sofia, Sofia, Bulgaria

3. Department of Computer Science, University of Arkansas at Little Rock, Little Rock, AR, USA

4. 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.

Publisher

IGI Global

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