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2 September 2014Optoelectronic correlator based on YUV color model with shifted training images for color image recognition
In our former research on YUV decomposition for color image recognition with joint transform correlator, the training images are displayed at the center position. However, the total side lobe energy may not be the minimum. In order to solve the problem, three components are rotated from -50° to 50° in steps of 2° and shifted from -3 to 3 pixels in both of vertical and the horizontal directions to yield shifted training images. 3 reference functions with lower side lobe energy on the output plane are yielded by using the method of minimum average cross correlation energy.
Yuezhe Li,Chulung Chen,Hsinyi Chen, andYachu Hsieh
"Optoelectronic correlator based on YUV color model with shifted training images for color image recognition", Proc. SPIE 9284, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronics Materials and Devices for Sensing and Imaging, 928415 (2 September 2014); https://doi.org/10.1117/12.2069696
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Yuezhe Li, Chulung Chen, Hsinyi Chen, Yachu Hsieh, "Optoelectronic correlator based on YUV color model with shifted training images for color image recognition," Proc. SPIE 9284, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronics Materials and Devices for Sensing and Imaging, 928415 (2 September 2014); https://doi.org/10.1117/12.2069696