Summary: | 碩士 === 元智大學 === 光電工程學系 === 101 === This research uses minimum average correlation energy method and shifted training images to recognize the polychromatic images. In our former research, 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, we transform the color image into three YUV color space components. Then, three components are rotated from 0° to 360° in steps of 5° and shifted from -5 to 5 pixels in both of vertical and the horizontal directions to yield training images. Finally, we can obtain the filter with minimum side lobe energy on the output plane by using the minimum average correlation energy method and cross correlation operation. Therefore, we can enhance the efficiency of recognition and decrease the possibility of error.
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