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Proceedings Paper

Change detection methods for distinction task of stochastic textures based on nonparametric method
Author(s): Albert Kh. Sultanov
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Paper Abstract

The following article describes use of nonparametric method. This method is to be used to find multivariate change of random processes for image processing. It is aimed to find the borders of irregular phenomena in front of terrain. The current task of finding change and evaluation of a change point in consequent setting proposes test statistics based on value of sampling characteristic functions. The relevant criterion in a wide range of alternatives has a predetermined assessment of the asymptotic significance level. Current work also proposes an algorithm of texture segmentation for two-dimensional case. This algorithm is given as a consequence of processing operations in columns and rows of test statistics values, obtained during scanning of images. The test results are quoted.

Paper Details

Date Published: 26 March 2016
PDF: 5 pages
Proc. SPIE 9807, Optical Technologies for Telecommunications 2015, 98070W (26 March 2016); doi: 10.1117/12.2234419
Show Author Affiliations
Albert Kh. Sultanov, Ufa State Aviation Technical Univ. (Russian Federation)

Published in SPIE Proceedings Vol. 9807:
Optical Technologies for Telecommunications 2015
Vladimir A. Andreev; Anton V. Bourdine; Vladimir A. Burdin; Oleg G. Morozov; Albert H. Sultanov, Editor(s)

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