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Object recognition by combined invariants of orthogonal Fourier-Mellin moments

机译:正交傅里叶-梅林矩组合不变量的物体识别

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摘要

Orthogonal moments are successfully used in the field of image analysis in the past decades. In this paper, two sets of invariants which are invariant to convolution with circularly symmetric point spread function (PSF) are introduced for object recognition and image classification using orthogonal Fourier-Mellin moments and quaternion Fourier-Mellin moments, respectively. The theoretic frameworks for deriving the orthogonal Fourier-Mellin moments of a blurred gray image are provided. Similarly, this study presents a method to construct quaternion Fourier-Mellin moments of a blurred color image. The experimental results are presented to illustrate the performance of the invariants for deformed gray or color images.
机译:在过去的几十年中,正交矩已成功用于图像分析领域。本文介绍了利用圆对称点扩展函数(PSF)进行卷积不变的两组不变量,分别用于正交傅里叶-梅林矩和四元数傅里叶-梅林矩的目标识别和图像分类。提供了用于推导模糊灰色图像的正交傅立叶-梅林矩的理论框架。同样,本研究提出了一种构建彩色彩色图像四元数傅里叶-梅林矩的方法。给出实验结果以说明不变量对于变形的灰度或彩色图像的性能。

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