2-D images classification based on "in terms of level" normalization

Authors

  • A. I. Rybin National Technical University of Ukraine, Kyiv Politechnic Institute, Kiev, Ukraine
  • S. M. Litvintsev National Technical University of Ukraine, Kyiv Politechnic Institute, Kiev, Ukraine
  • I. O. Sushko National Technical University of Ukraine, Kyiv Politechnic Institute, Kiev, Ukraine
  • S. O. Pelevin National Technical University of Ukraine, Kyiv Politechnic Institute, Kiev, Ukraine

DOI:

https://doi.org/10.20535/RADAP.2015.61.50-59

Keywords:

normalization, normal orthogonal transformation, pattern recognition, transform coefficient, 2D image

Abstract

Introduction. Possible methods of pattern recognition of 2D images are described. A matched filtering method based on "in terms of level" normalization is the best way for classification of 2D images. Example of "in terms of level" normalization algorithm of 2D images. By means of example whole process of comparison of 2D images based on proposed method is presented. Proposed algorithms. Normalization algorithm of 2D reference image based on orthogonal transformation and estimation algorithm of similarity between tested and reference 2D images are proposed. Conclusions. The main advantages of the proposed method of 2D image classification are presented in conclusions. Minimization of some disadvantages is proposed.

Author Biographies

A. I. Rybin, National Technical University of Ukraine, Kyiv Politechnic Institute, Kiev

Rybin A. I.

S. M. Litvintsev, National Technical University of Ukraine, Kyiv Politechnic Institute, Kiev

Litvintsev Sergii

I. O. Sushko, National Technical University of Ukraine, Kyiv Politechnic Institute, Kiev

Sushko I.A.

S. O. Pelevin, National Technical University of Ukraine, Kyiv Politechnic Institute, Kiev

Pelevin S.O.

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Published

2015-06-30

Issue

61

Section

Computing methods in radio electronics

License

Copyright (c) 2020 A. I. Rybin, S. M. Litvintsev, I. O. Sushko, S. O. Pelevin

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