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Optical Engineering

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

Paper Details

Date Published: 1 November 1995
PDF: 6 pages
Opt. Eng. 34(11) doi: 10.1117/12.213613
Published in: Optical Engineering Volume 34, Issue 11
Show Author Affiliations
Farid Ahmed, Univ. of Dayton (United States)
Mohammad A. Karim, Univ. of Dayton (United States)
Mohammad S. Alam, Purdue Univ. (United States)


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