Noise immunity and pattern discrimination using wavelet feature-based generalized fringe-adjusted joint transform correlator

Renu Tripathi; G. S. Pati; Kehar Singh

doi:10.1117/12.346795

29 April 1999 Noise immunity and pattern discrimination using wavelet feature-based generalized fringe-adjusted joint transform correlator

Renu Tripathi, G. S. Pati, Kehar Singh

Author Affiliations +

Proceedings Volume 3729, Selected Papers from International Conference on Optics and Optoelectronics '98; (1999) https://doi.org/10.1117/12.346795
Event: Selected Papers from the International Conference on Optics and Optoelectronics, 1998, Dehradun, India

Abstract

A wavelet feature-based generalized FAJTC has been proposed to improve the performance of fringe-adjusted type JTCs in the presence of noise in the input scene. Computer simulation results are produced for test images containing single as well as multiple targets and synthetic textured input scene noise. The results illustrate the effectiveness of wavelet processing in reducing the detrimental effect of noise and enhancing pattern discrimination ability of conventional generalized FAJTCs.

Citation Download Citation

Renu Tripathi, G. S. Pati, and Kehar Singh "Noise immunity and pattern discrimination using wavelet feature-based generalized fringe-adjusted joint transform correlator", Proc. SPIE 3729, Selected Papers from International Conference on Optics and Optoelectronics '98, (29 April 1999); https://doi.org/10.1117/12.346795

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