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Shift- and scale-invariant recognition of contour objects with logarithmic radial harmonic filters

机译:使用对数径向谐波滤波器对轮廓对象进行位移和比例不变识别

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摘要

The phase-only logarithmic radial harmonic (LRH) filter has been shown to be suitable for scale-invariant block object recognition. However, an important set of objects is the collection of contour functions that results from a digital edge extraction of the original block objects. These contour functions have a constant width that is independent of the scale of the original object. Therefore, since the energy of the contour objects decreases more slowly with the scale factor than does the energy of the block objects, the phase-only LRH filter has difficulties in the recognition tasks when these contour objects are used. We propose a modified LRH filter that permits the realization of a shift- and scale-invariant optical recognition of contour objects. The modified LRH filter is a complex filter that compensates the energy variation resulting from the scaling of contour objects. Optical results validate the theory and show the utility of the newly proposed method.
机译:仅相位对数径向谐波(LRH)滤波器已被证明适用于尺度不变块对象识别。但是,一组重要的对象是轮廓函数的集合,这些轮廓函数是由原始块对象的数字边缘提取产生的。这些轮廓函数具有恒定的宽度,该宽度与原始对象的比例无关。因此,由于轮廓对象的能量随比例因子的减小比块对象的能量更慢,因此仅相位LRH滤波器在使用这些轮廓对象时在识别任务方面存在困难。我们提出了一种改进的LRH滤波器,该滤波器可以实现轮廓对象的平移和缩放不变的光学识别。修改后的LRH滤波器是一个复杂的滤波器,可以补偿轮廓对象缩放导致的能量变化。光学结果验证了该理论并证明了该新方法的实用性。

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