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360                   7. Pattern Recognition with Optics


                            LCTV1
              Incoherent      <&    Lenslet         Imaging
             Light Source   Diffuser  Array          Lens
                                              LCTV2        CC0
                                                          Camera
               OD-
                '• \








                          Fig. 7.7. An LCTV optical neural network.



       whereas the joint-transform filter is dependent. Since the joint-transform
       hologram is dependent on the input scene, nonlinear filtering is difficult and
       may lead to false alarms and poor performance in the presence of noise.
          The performance of the LCTV-based NN needs to be mentioned. The
       lenslet array provides the interconnection between the memory matrix or the
       interconnection weight matrix (IWM) and the input pattern. The transmitted
       light field after LCTV2 is collected by an imaging lens, focusing at the lenslet
       array and imaging onto a CCD array detector or camera. The array of detected
       signals is sent to a threshholding circuit and the final pattern can be viewed at
       the TV monitor or sent back for the next iteration. The data flow is primarily
       controlled by the microcomputer. Thus, the LCTV-based NN is indeed an
       adaptive optical NN.
          Another hybrid architecture using an optical disk is worth mentioning, as
       shown in Fig. 7.8. As we know, a single input pattern might require correlation
       with a huge library of reference patterns before a match is found. Therefore,
       the lack of large-capacity storage devices that can provide high-speed readout
       is still a major obstacle to practical optical correlation systems. Optical disks
       (ODs), developed in recent years as mass-storage media for many consumer
       products, are excellent candidates for this task. We shall now illustrate an
       OD- based JTC for the continuing effort to develop a practical pattern
       recognizer. The system employs an electrically addressable SLM to display the
       input pattern, and an OD to provide a large volume of reference patterns in
       the JTC, shown in Fig. 7.8. A target captured by a video camera is first
       displayed on SLM1. A beam expansion/reduction system is then used to reduce
       the size of the input m times. One of the reference patterns on the OD is read
       out in parallel and magnified m times by another set of expansion lenses. The
       joint transform is done by transform lens FL1 and the joint-transform power
       spectrum (JTPS) recorded on the write side of SLM2. After FL2 Fourier
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