The Study Of JTC Image Identification

The methods of optical correlation are divided into two categories, matched filter correlator(MFC) and joint transform correlator(JTC). MFC techniques need to make matched filter, The data required for making MFC is very large, This reduces the precessing precision and makes the filtering process unstable,.so the MFC is unpopular; The JTC does not require making a matched filter, and can easily achieve precisely positioning. The use of spatial light modulator(SLM) real-time, automatic programmable and flexibleIn recent years, improvement of identifition ability of JTC is mainly foused on preprocessing of input image,nonlinear processing of power spectrum and correlation peak.Differential algorithm is an important method of digital image processing. image edge is the important part of image information, and it is critical to image recognition and understanding,It's also the basis of advanced digital image processing。In this paper, Firstly, the differential algorithm is applied inJTC.The output of JTC was greatly improved and a new path was opend for the development of JTC ; Secondly, the Laplace algorithm was applied to process the power spectrum of input image, The zero-order diffraction of the correlation peak was apparently reduced and a better correlation output had been got; Finally, the correlation peaks were normalized, turned into black and white.and binary, This maked the correlation energy more concentrated and easy to identify the target object.In this paper, byprocessing the joint input image in spatial light modulator with differential algorithms,processing the power spectrum Laplace algorithm,and processing the correlation output with normalization and binarization method,the contrast of correlation peak was endhanced and the efficencly identification was increased.