OPTIMIZATION OF THE METHOD OF INVERSE RESONANCE  FILTRATION IN PROBLEMS OF OBJECTS RECOGNITION ON TEXTURE  BACKGROUND

Roman Kvetniy; Olga Sofina

OPTIMIZATION OF THE METHOD OF INVERSE RESONANCE FILTRATION IN PROBLEMS OF OBJECTS RECOGNITION ON TEXTURE BACKGROUND

Автор(и)

Roman Kvetniy Vinnytsia National Technical University
Olga Sofina Vinnytsia National Technical University

Ключові слова:

inverse filtration, discrete Fourier transform, natural oscillations

Анотація

The paper considers new approach to the solutions of the problems of objects recognition on texture background. Filtration of textures is suggested to perform using inverse resonant filter (IRF).Filter synthesis is based on approximation of background surface by Fourier series, which compise proper natural 2D oscillations of the background.

Біографії авторів

Roman Kvetniy, Vinnytsia National Technical University

Dr. Sc. (Eng), Professor, Head of the Chair of automation and information – measuring devices.

Olga Sofina, Vinnytsia National Technical University

Post - Graduate of the Chair of automation and information measuring devices

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PDF (English)
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Опубліковано

2015-12-01

Як цитувати

[1]

R. Kvetniy і O. Sofina, «OPTIMIZATION OF THE METHOD OF INVERSE RESONANCE FILTRATION IN PROBLEMS OF OBJECTS RECOGNITION ON TEXTURE BACKGROUND», SWVNTU, вип. 1, Груд 2015.