离散径向-谐波-傅里叶矩用于图像描述

Proceedings of the 2023 6th International Conference on Machine Vision and Applications Pub Date : 2023-03-10 DOI:10.1145/3589572.3589600

Kejia Wang, Ziliang Ping, Y. Sheng

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引用次数: 0

摘要

提出了一种新的多畸变不变离散正交矩——离散径向-谐波-傅立叶矩。力矩的核函数由径向离散正交三角函数和角向傅立叶复分量因子组成。分析了离散径向-谐波-傅里叶矩与径向-谐波-傅里叶矩的关系。实验结果表明，离散径向-谐波-傅里叶矩具有良好的图像描述能力，可以有效地用作图像分析和模式识别中的不变图像特征。

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Discrete Radial-Harmonic-Fourier Moments for Image Description

A new type of multi-distorted invariant discrete orthogonal moments, discrete Radial-Harmonic-Fourier moments was proposed. The kernel function of the moments was composed of radial discrete orthogonal triangular function and angular Fourier complex componential factor. The relationship between discrete Radial-Harmonic-Fourier moments and Radial-Harmonic-Fourier moments was also analyzed. The experimental results indicate that the discrete Radial-Harmonic-Fourier moments have excellent image description ability and can be effectively used as invariant image features in image analysis and pattern recognition.

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Proceedings of the 2023 6th International Conference on Machine Vision and Applications

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