用保相傅里叶描述子进行形状描述

E. Sokic, S. Konjicija
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引用次数: 4

摘要

基于轮廓的傅里叶描述子是一种简单有效的基于内容的图像检索的形状描述方法。为了实现旋转和起始点变化下的不变性,大多数傅立叶描述子实现忽略了傅立叶系数的相位。提出了一种提取傅里叶描述子的新方法,该方法既保留了傅里叶系数的相位,又具有期望的不变性。我们提出了特定的点,称为伪镜像点,作为形状取向参考。实验结果表明,该方法明显优于其他基于傅里叶描述子的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shape description using phase-preserving Fourier descriptor
Contour-based Fourier descriptors are established as a simple and effective shape description method for content-based image retrieval. In order to achieve invariance under rotation and starting point change, most Fourier descriptor implementations disregard the phase of the Fourier coefficients. We introduce a novel method for extracting Fourier descriptors, which preserve the phase of Fourier coefficients and have the desired invariance. We propose specific points, called pseudomirror points, to be used as shape orientation reference. Experimental results indicate that the proposed method significantly outperforms other Fourier descriptor based techniques.
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