Email this article Wavelet-odd prolate spheroidal wave functions in the problem of two-dimensional image segmentation
- Authors: Katulev A.N.1, Malevinsky M.F.2
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Affiliations:
- Research Center of the Central Research Institute of Aerospace Defense of the Ministry of Defense of the Russian Federation
- Tver State University
- Issue: Vol 52, No 3 (2016)
- Pages: 223-230
- Section: Analysis and Synthesis of Signals and Images
- URL: https://journals.rcsi.science/8756-6990/article/view/211949
- DOI: https://doi.org/10.3103/S875669901603002X
- ID: 211949
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Abstract
A wavelet in the form of the first odd prolate spheroidal wave function is proposed for the wavelet transform of a non-uniform 2D image and the formation of clusters of wavelet coefficients in it. Methods for calculating the wavelet function, clustering the field of wavelet coefficients, and constructing their corresponding optimal rectangular windows in an image are described. Modeling has shown the high efficiency of the methods and the algorithm implementing them under various real operating conditions of the optoelectronic device..
About the authors
A. N. Katulev
Research Center of the Central Research Institute of Aerospace Defense of the Ministry of Defense of the Russian Federation
Author for correspondence.
Email: katuleva@mail.ru
Russian Federation, Naberezhnaya Afanasiya Nikitina 32, Tver, 170026
M. F. Malevinsky
Tver State University
Email: katuleva@mail.ru
Russian Federation, ul. Zhelyabova 33, Tver, 170100
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