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

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.

Authors and Affiliations

A. Rybin, S. Litvintsev, I. Sushko

Keywords

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  • EP ID EP308769
  • DOI 10.20535/RADAP.2015.61.50-59
  • Views 70
  • Downloads 0

How To Cite

A. Rybin, S. Litvintsev, I. Sushko (2015). 2-D images classification based on "in terms of level" normalization. Вісник НТУУ КПІ. Серія Радіотехніка, Радіоапаратобудування, 0(61), 50-59. https://europub.co.uk./articles/-A-308769