Joint transform correlation for invariant target recognition

Steven K. Rogers; John D. Cline; Matthew Kabrisky; James P. Mills

doi:10.1117/12.21300

1 September 1990 Joint transform correlation for invariant target recognition

Steven K. Rogers, John D. Cline, Matthew Kabrisky, James P. Mills

Proceedings Volume 1297, Hybrid Image and Signal Processing II; (1990) https://doi.org/10.1117/12.21300
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

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 Joint Transform Correlator architecture using a single magnetooptical spatial light modulator (MOSLM) and a charge coupled device (CCD) camera is designed and tested. A unique technique for binarizing the fringe pattern, commonly called the joint transform power spectrum (JTPS), that enhances the application to actual sensor images is presented. The modification of the architecture to allow for scale and rotation invariant target recognition is also presented.

Citation Download Citation

Steven K. Rogers, John D. Cline, Matthew Kabrisky, and James P. Mills "Joint transform correlation for invariant target recognition", Proc. SPIE 1297, Hybrid Image and Signal Processing II, (1 September 1990); https://doi.org/10.1117/12.21300

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