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Vol. 225, Issue 9, September 2018, pp. 14-18




Robust Target Detection Employing Log-Polar Transformation and Multiple Phase-Shirted
Joint Transform Correlation

M. Nazrul ISLAM

State University of New York at Farmingdale, 2350 Broad Hollow Road, Farmingdale, NY 11735, USA
Tel.: 1-631-420-2538

E-mail: islamn@farmingdale.edu


Received: 25 June 2018 /Accepted: 31 August 2018 /Published: 30 September 2018

Digital Sensors and Sensor Sysstems


Abstract: Target detection techniques suffer from slow speed, poor discrimination ratio, and failure in variable environmental conditions. Optical multiple phase-shifted reference based joint transform correlation (MRJTC) technique is developed, which proves to be very efficient and sensitive detecting a potential target at a very high speed. A fringe-adjusted filter is designed to enhance the discrimination ratio between a target and non-target objects. In addition, a log-polar transform algorithm is incorporated in the MRJTC technique to make the pattern recognition invariant to scale and rotation variations. The peak-to-side lobe ratio is measured and compared to a threshold at the correlation plane to detect and/or track a pattern of interest in an unknown input scene. Computer simulation results verify the robustness of the proposed target detection.


Keywords: Join transform correlation, Joint power spectrum, Phase encoding, Log-polar transformation, Fringe-adjusted filter, Target detection.


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This work is licensed under a Creative Commons 4.0 International License


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