Paper Info
Title
Intelligent processing and analysis of groups of multispectral images
Abstract
In this paper is offered one new approach for efficient processing and analysis of groups of multispectral images of same objects. It comprises several tools: the Inverse pyramid decomposition for still images; 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 to define large number of parameters, which are used for object analysis and evaluation. When combined with the KASER expert system, this approach turns into a flexible tool for analysis of multispectral images of the same object.
Year
DOI
Venue
2012
10.1109/IRI.2012.6303006
Information Reuse and Integration
Keywords
Field
DocType
Fourier transforms,expert systems,geophysical image processing,image representation,image retrieval,visual databases,KASER expert system,Mellin-Fourier transform,group analysis,hierarchical search,image databases,intelligent processing,invariant object representation,multispectral images,object analysis,object evaluation,still images inverse pyramid decomposition,Hierarchical search in image databases,Invariant object representation,KASER expert systems,Modified Mellin-Fourier transform,Multispectral images
Computer vision,Pattern recognition,Computer science,Multispectral image,Expert system,Image retrieval,Transform coding,Fourier transform,Artificial intelligence,Multispectral pattern recognition,Pyramid,Invariant (mathematics)
Conference
ISBN
Citations 
PageRank 
978-1-4673-2283-6
0
0.34
References 
Authors
9
4
Name
Order
Citations
PageRank
Stuart Harvey Rubin17320.96
Roumen K. Kountchev24612.62
Mariofanna Milanova3405.01
Roumiana Kountcheva4118.05