Image clustering algorithm using polynormal distributed data

Anatoliy V. Popov; Oleksiy Pogrebnyak; Alexandra N. Brashevan

doi:10.1117/12.617895

30 August 2005 Image clustering algorithm using polynormal distribution

Anatoliy V. Popov, Oleksiy Pogrebnyak, Alexandra N. Brashevan

Proceedings Volume 5916, Mathematical Methods in Pattern and Image Analysis; 591610 (2005) https://doi.org/10.1117/12.617895
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

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.

Citation Download Citation

Anatoliy V. Popov, Oleksiy Pogrebnyak, and Alexandra N. Brashevan "Image clustering algorithm using polynormal distribution", Proc. SPIE 5916, Mathematical Methods in Pattern and Image Analysis, 591610 (30 August 2005); https://doi.org/10.1117/12.617895

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