Cellular neural network application to moire pattern filtering

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.<<ETX>>