Rotation invariant detection in a noisy environment using a wavelet-based joint transform correlator

Farid Ahmed; Mohammad S. Alam; Mohammad A. Karim

doi:10.1117/12.205768

28 March 1995 Rotation invariant detection in a noisy environment using a wavelet-based joint transform correlator

Farid Ahmed, Mohammad S. Alam, Mohammad A. Karim

Proceedings Volume 2490, Optical Pattern Recognition VI; (1995) https://doi.org/10.1117/12.205768
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

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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KEYWORDS

Composites

Distortion

Wavelets

Joint transforms

Optical correlators

Image filtering

Image resolution

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