一种多圆谐光学图象识别方法
Rotation - Invariant Pattern Recognition by Multiple Circular Harmonic Components
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摘要: 提出了一种多圆谐函数识别方法,这种方法采用了目标中的多个圆谐成分,并把这些圆谐成分的空间进行编码,产生一种多圆谐滤波器,由于多个圆谐成分的采用,提高了识别的准确性,而且增加了识别的灵活性,根据不同的相关峰值编码可以同时识别几个不同的目标而不失去旋转不变性,进行了计算机模拟和光学实验,结果与理论分析一致。Abstract: A method using more than one circular harmonic components of the target pattern and encoding these components in the spatial domain is presented. With more information in the filter, the recognition accuracy and the flexibility are increased , and based on position encoding , several targets can be detected simultaneously without sacrificing rotation invariance. Both optical experiments and simulation computing have shown the consistency with the theoretical analysis.
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