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Feature extraction for magnetic domain images of magneto-optical recording films using gradient feature segmentation

机译:使用梯度特征分割的磁光记录膜的磁畴图像的特征提取

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In this paper, we present a method to realize feature extraction on low contrast magnetic domain images of magneto-optical (MO) recording films. The method is based on the following three steps: first, Lee-filtering method is adopted to realize pre-filtering and noise diminishing; followed by gradient feature segmentation, which separate the object area from the background area; at last common linking, method is adopted and the characteristic parameters of magnetic domain are calculated. We describe these steps with particular emphasis on the gradient feature segmentation. The results show that this method has advantages over other traditional ones for feature extraction of low contrast images.
机译:在本文中,我们介绍了一种在磁光(MO)记录膜的低对比度磁畴图像上实现特征提取的方法。该方法基于以下三个步骤:首先,采用lee过滤方法来实现预过滤和噪声减少;其次是渐变特征分割,将对象区域与背景区域分开;最后,采用了方法,并计算磁畴的特征参数。我们描述了这些步骤,特别强调梯度特征分割。结果表明,该方法具有优于其他传统方法的优势,用于低对比度图像的特征提取。

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