| Issue |
MATEC Web Conf.
Volume 75, 2016
2016 International Conference on Measurement Instrumentation and Electronics (ICMIE 2016)
|
|
|---|---|---|
| Article Number | 03006 | |
| Number of page(s) | 5 | |
| Section | Signal Processing and Pattern Recognition | |
| DOI | https://doi.org/10.1051/matecconf/20167503006 | |
| Published online | 01 September 2016 | |
Theoretical aspects of aerospace image processing in quasi two-dimensional spectral space
1 Ryazan State Radio Engineering University, Ryazan, Russian Federation
2 Ryazan State University, Ryazan, Russian Federation
The article regards digital images as mathematical objects and uses a co-variation matrix of element brightness values to analyze an autocorrelation matrix of images – a dispersion matrix, to define all significant properties of images with the help of mathematical statistics and matrix computing. We suggest theoretic and methodological generalizations in the field of aerospace photo processing, basing on choice of the most advantageous variant of constructing basic functions among various Vilenkin-Chrestenson functions (VCF) in a non-trigonometrical minimally available construction form as Walsh functions with an original ‘carcass’ of Rademacher functions. The methodology of this research is based on a set of theorems that are different from corresponding theorems of classical spectral analysis [5]. The conclusions of the theorems allow constructing effective algorithms of filtration and correlation analysis of aerospace images when noises and distortions appear.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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