Cellular neural network application to moire pattern filtering

Author

Dzielinski, Andrzej ; Skoneczny, S. ; Zbikowski, R. ; Kuklinski, Slawomir

Author_Institution

Warsaw Univ. of Technol., Warszawa, Poland

fYear

1990

fDate

16-19 Dec 1990

Firstpage

139

Lastpage

148

Abstract

The moire effect, i.e. the intermodulation of signal frequencies, is generated by superposition of two or more periodic and/or quasi-periodic functions. It occurs as distortion in printing and displaying, and can be used for measurement (moire topography, stress and strain analysis). This paper describes the moire technique for medical spinal curvature estimation. Two approaches are presented: classical 2D sequential digital filter, and a cellular neural network

Keywords

filtering and prediction theory; moire fringes; neural nets; patient diagnosis; pattern recognition; picture processing; 2D sequential digital filter; cellular neural network; medical spinal curvature estimation; moire pattern filtering; moire topography; quasi-periodic function superposition; signal frequency modulation; strain analysis; stress analysis; Cellular neural networks; Digital filters; Distortion measurement; Filtering; Frequency; Printing; Signal generators; Strain measurement; Stress measurement; Surfaces;

fLanguage

English

Publisher

ieee

Conference_Titel

Cellular Neural Networks and their Applications, 1990. CNNA-90 Proceedings., 1990 IEEE International Workshop on

Conference_Location

Budapest

Type

conf

DOI

10.1109/CNNA.1990.207517

Filename

207517

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3109340