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Image clustering algorithm using polynormal distribution

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.