Wavelet transform-based correlator for the recognition of rotationally distorted images

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

doi:10.1117/12.213613

1 November 1995 Wavelet transform-based correlator for the recognition of rotationally distorted images

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

Author Affiliations +

Optical Engineering, Vol. 34, Issue 11, (November 1995). https://doi.org/10.1117/12.213613

Abstract

A novel wavelet-based joint transform correlator (WJTC) for rotation-invariant pattern recognition and applications in optical image processing and remote sensing is investigated. First an optimal set of filter parameters and a mother wavelet filter are selected. These are used to extract features at different resolution from a set of rotationally distorted training images. Then a composite reference feature is formulated from these features for use in the WJTC. Simulation results for both noisy and noiseless environments are presented to verify the effectiveness of this technique.

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Farid Ahmed, Mohammad A. Karim, and Mohammad S. Alam "Wavelet transform-based correlator for the recognition of rotationally distorted images," Optical Engineering 34(11), (1 November 1995). https://doi.org/10.1117/12.213613

Published: 1 November 1995

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