Image classification with a chirp-encoded joint transform correlator.

We describe a method of performing image classification with a chirp-encoded joint transform correlator. In the proposed system the reference images and the input image that is to be classified are placed in different input planes of the joint transform correlator. As a result, different output planes of the correlator are associated with each reference image. The input image is classified on the basis of the intensity and the spatial position of the correlation peak. The reference images and the input image can be positioned in one input plane with glass blocks of different thicknesses placed on each reference image. This produces the same effect as having the reference images and the input image in different planes. Analytical expressions, computer simulations, and optical experiments are presented to investigate the performance of the chirp-encoded joint transform correlator for image classification.

[1]  D Psaltis,et al.  Optical network for real-time face recognition. , 1993, Applied optics.

[2]  B Javidi,et al.  Multiple-object detection with a chirp-encoded joint transform correlator. , 1993, Applied optics.

[3]  G. Michael Morris,et al.  Image classification at low light levels , 1986 .

[4]  B Javidi,et al.  Experiments on nonlinear joint transform correlator using an optically addressed spatial light modulator in the Fourier plane. , 1991, Applied optics.

[5]  James R. Leger,et al.  Optical implementation of the least-squares linear mapping technique for image classification , 1982 .

[6]  C C Guest,et al.  Simulated annealing algorithm for binary phase only filters in pattern classification. , 1990, Applied optics.

[7]  B Javidi,et al.  Sensitivity of the nonlinear joint transform correlator: experimental investigations. , 1992, Applied optics.

[8]  Steven K. Rogers,et al.  New binarization techniques for joint transform correlation , 1990 .

[9]  J. Goodman,et al.  A technique for optically convolving two functions. , 1966, Applied optics.

[10]  A. Lugt,et al.  The use of film nonlinearities in optical spatial filtering. , 1970, Applied optics.

[11]  David L. Flannery,et al.  Design elements of binary joint transform correlation and selected optimization techniques , 1992 .

[12]  Joseph L. Horner,et al.  1-F Binary Joint Transform Correlator. , 1990 .

[13]  B Javidi,et al.  Chirp-encoded joint transform correlators with a single input plane. , 1994, Applied optics.

[14]  B. Javidi.  Nonlinear joint power spectrum based optical correlation. , 1989, Applied optics.