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Proceedings Paper

Image clustering algorithm using polynormal distributed data
Author(s): Anatoliy V. Popov; Oleksiy Pogrebnyak; Alexandra N. Brashevan
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Paper Abstract

A solution for the problem of nonsupervized recognition in the conditions of a priori indefinite number of object classes in radar images is presented. The designed algorithm performs image clustering to divide image objects into classes. The region of interest is can be chosen by user and then probabilistic filtering is applied to recognize the objects of the predetermined class on the entire image. The algorithm is operated on the multichannel data and shows stable recognition results.

Paper Details

Date Published: 30 August 2005
PDF: 9 pages
Proc. SPIE 5916, Mathematical Methods in Pattern and Image Analysis, 591610 (30 August 2005); doi: 10.1117/12.617895
Show Author Affiliations
Anatoliy V. Popov, National Aerospace Univ. of Ukraine (Ukraine)
Oleksiy Pogrebnyak, Instituto Politecnico Nacional (Mexico)
Alexandra N. Brashevan, National Aerospace Univ. of Ukraine (Ukraine)

Published in SPIE Proceedings Vol. 5916:
Mathematical Methods in Pattern and Image Analysis
Jaakko T. Astola; Ioan Tabus; Junior Barrera, Editor(s)

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