Enhanced rotation and scale invariant target detection using the fringe-adjusted joint transform correlation

A. M. El-Saba; M. S. Alam; W. Sakla

doi:10.1117/12.666614

17 April 2006 Enhanced rotation and scale invariant target detection using the fringe-adjusted joint transform correlation

A. M. El-Saba, M. S. Alam, W. Sakla

Author Affiliations +

Proceedings Volume 6245, Optical Pattern Recognition XVII; 62450G (2006) https://doi.org/10.1117/12.666614
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

We present a novel synthetic discriminant function (SDF) formulated from the Laplacian-enhanced (L) training images for the rotation and scale invariant target detection. It is shown that the proposed LSDF yields significantly improved correlation performance compared to the traditional SDF. Since the LSDF is formulated off line, it does not have any burden on the processing speed of the system.

Citation Download Citation

A. M. El-Saba, M. S. Alam, and W. Sakla "Enhanced rotation and scale invariant target detection using the fringe-adjusted joint transform correlation", Proc. SPIE 6245, Optical Pattern Recognition XVII, 62450G (17 April 2006); https://doi.org/10.1117/12.666614

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