Color pattern recognition by quaternion correlation
نویسندگان
چکیده
I t is popular to use the conventional correlation for pattern recognition. But when uaing the conventional correlation, the pattern should be gray-level pattern. In this paper, we will discuss how to use discrete quaternion correlation (DQCR) for the application of color pattern recognition. With the algorithm introduced here, we can detect the objects that have the same shape, color, and brightness with the reference pattern. Besides, we can also detect (a) the objects with the same shape, color, but different brightness, (b) the objects with the same shape, brightness, but different color, and (c) the objects just have the same shape as the reference. Our algorithm can classify the objects into 5 classes due to whether their shape, brightness, and color match those of the reference pattern. 13esides, by our algorithm, the difference of brightness and color can also be calculated at the same time.
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