首页> 外文会议>Conference on Image Extraction, Segmentation, and Recognition Oct 22-24, 2001, Wuhan, China >Feature extraction for magnetic domain images of magneto-optical recording films using gradient feature segmentation
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Feature extraction for magnetic domain images of magneto-optical recording films using gradient feature segmentation

机译:利用梯度特征分割的磁光记录膜磁畴图像特征提取

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摘要

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,我们提出了一种在磁光(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滤波方法实现预滤波和降噪。然后进行梯度特征分割,将对象区域与背景区域分开;最后采用通用方法,计算了磁畴的特征参数。我们将特别着重于梯度特征分割来描述这些步骤。结果表明,该方法在低对比度图像特征提取方面优于其他传统方法。

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