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26 January 2009 Optoelectronic correlator based on ATD vector vision model with image encoding method for chromatic image recognition
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Abstract
In this paper, we use the ATD color human vision model instead of the traditional RGB color model for polychromatic pattern recognition. Here we utilize the Mach-Zehnder joint transform correlator to be the optical pattern discrimination configuration. The ATD color human vision model is proposed to be the interpretation of human's cone mechanisms. The ATD represents the nonopponent achromatic system, the tritanopic system, and the deuteranopic system, respectively. It is more close to human eye's vision. Besides, we also use the minimum average correlation energy approach based on the Lagrange multipliers and image encoding technique to yield sharp correlation peak and to achieve the distortion invariance. The image encoding method can reduce the requirement of pixels number in RLCSLM on output plane effectively. Therefore, an encoded image recombined by the three vectors of ATD has been utilized in our input plane. The minimum average correlation energy approach is designed to deal with various distortions and to reduce the correlation sidelobe intensity. From these results, we discover that the recognition ability based on ATD vector model is better than that based on RGB color model generally. Subsequently, we choose one target from the 25 images set to estimate the discrimination ability in rotated distortion and noisy distortion. From the numerical results we realize that the recognition ability based on ATD color vision model is accepted.
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Chunmin Wang, Chulung Chen, Tiengsheng Lin, and Tengwen Chen "Optoelectronic correlator based on ATD vector vision model with image encoding method for chromatic image recognition", Proc. SPIE 7156, 2008 International Conference on Optical Instruments and Technology: Optical Systems and Optoelectronic Instruments, 715611 (26 January 2009); https://doi.org/10.1117/12.810788
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