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

Composites

Distortion

Optical correlators

Fourier transforms

Modulation

Image filtering

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