Title :
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
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;
Conference_Titel :
Cellular Neural Networks and their Applications, 1990. CNNA-90 Proceedings., 1990 IEEE International Workshop on
Conference_Location :
Budapest
DOI :
10.1109/CNNA.1990.207517
