New binarization techniques for joint transform correlation

In this paper the application of joint transform correlator (JTC) techniques for use in automatic target recognition using actual sensor data is addressed. The problem of interest is the detection and classification of objects in forward-looking infrared (FLIR) images. A JTC architecture using a single magneto-optic spatial light modulator and a chargecoupled device camera is tested. Unique techniques for binarizing the JTC input and the subsequent Fourier transform fringe pattern, commonly called the joint transform power spectrum (JTPS), are presented. Computer simulations and experimental results are provided.