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Image Recognition Based on Radial Harmonic Fourier Moments and SVM

机译:基于径向谐波傅立叶矩和SVM的图像识别

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We propose a new algorithm for recognizing cell images by using Radial Harmonic Fourier moments (RHFMs) to extract features of cell images and by combing RHFMs with Support Vector Machine (SVM). In recognizing different kinds of cells, this algorithm can make generalization come true in the process of extraction and recognition of the features of cells. It is also advantageous in the speed and accuracy of recognition.
机译:我们提出了一种新的算法,用于通过使用径向谐波循环时刻(RHFMS)来识别细胞图像来提取单元图像的特征,以及用支持向量机(SVM)梳理RHFM。在识别不同种类的细胞中,该算法可以在提取和识别细胞特征的过程中进行泛化。它在识别速度和准确性方面也是有利的。

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