17 March 2008 Probability density function-based Fisher ratio applied to polarization-enhanced patterns
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The use of Fisher ratio (FR) algorithm to predict a pattern in an input seen has been applied in several applications in the literature with different success rate, depending on how close is the similarity of the statistical parameters between the background and the patterns. We propose a modification to the FR ratio algorithm that is dependent on the probability density function (PDF). The modified PDF-FR algorithm provides good improvements over that of the PDF used alone. We further enhance the performance of the PDF-FR using polarization-enhanced imagery.
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Aed El-Saba, Aed El-Saba, M. S. Alam, M. S. Alam, H. Nalluri, H. Nalluri, } "Probability density function-based Fisher ratio applied to polarization-enhanced patterns", Proc. SPIE 6977, Optical Pattern Recognition XIX, 697709 (17 March 2008); doi: 10.1117/12.782173; https://doi.org/10.1117/12.782173


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