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28 March 1995 Rotation invariant detection in a noisy environment using a wavelet-based joint transform correlator
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Abstract
Wavelet based Joint transform correlator (JTC) for rotation invariant automatic target detection is proposed in this paper. Wavelet features of a set of rotationally distorted training images are first extracted at different levels of resolution. A simple composite filter formulation is then employed to construct the reference image of the JTC. Simulation results are presented showing the improved rotation-invariant detection performance of the proposed technique.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Farid Ahmed, Mohammad S. Alam, and Mohammad A. Karim "Rotation invariant detection in a noisy environment using a wavelet-based joint transform correlator", Proc. SPIE 2490, Optical Pattern Recognition VI, (28 March 1995); https://doi.org/10.1117/12.205768
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