OPTICAL-PATTERN RECOGNITION IN MOTION ACQUIRED SCENES USING A BINARY JOINT TRANSFORM CORRELATION

The problem of detecting patterns in moved scenes is analysed. The cor relation when the input scene presents a relative motion with respect to the recording system image is studied analytically and an original method for detecting patterns by means of a binary joint transform cor relator is presented. The method is based on the compensation of the s ign errors introduced in the joint power spectrum by the transfer func tion of the degradation. Two alternatives to determine the sign of the transfer function are demonstrated: the first is based on an algorith m to extract information from the Fourier spectrum of the blurred imag e and the second method determines the sign errors by post-processing the correlation. Digital simulations and optical results are provided.