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Scale-invariant Road Sign Recognition By Fourier Plane Scaling Of Spectrum

机译:频谱的傅里叶平面缩放法实现尺度不变路标识别

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摘要

A new method is proposed for estimation of object size from the Fourier spectrum leading to scale-invariant pattern recognition. Instead of using the standard procedure of radial harmonic functions, the scaling factor is estimatedfrom the Fourier spectrums of reference and test images. Since Fourier Transform of a two-dimensional object and its Fraunhofer diffraction pattern are identical, it is utilized to determine the scale factor. The test image is correlated with the reference image after reseating its Fourier spectrum. Computer simulation results are presented for a reference object at several scaling versions as well as for some non-target objects.
机译:提出了一种新的方法,用于从傅立叶谱估计物体尺寸,从而实现尺度不变模式识别。代替使用径向谐波函数的标准过程,比例因子是从参考图像和测试图像的傅立叶光谱中估算出来的。由于二维对象的傅里叶变换及其弗劳恩霍夫衍射图是相同的,因此可以用来确定比例因子。在重新放置其傅立叶光谱之后,将测试图像与参考图像相关联。给出了几种缩放版本的参考对象以及一些非目标对象的计算机仿真结果。

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