| 基于梯度分割的磁光记录薄膜磁畴图像特征提取 |
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| 引用本文： | 李海华,何华辉,朱全庆. 基于梯度分割的磁光记录薄膜磁畴图像特征提取[J]. 磁性材料及器件, 2004, 35(3): 18-21 |
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| 作者姓名： | 李海华 何华辉 朱全庆 |
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| 作者单位： | 华中科技大学电子科学与技术系,湖北武汉,430074;华中科技大学,图像识别与人工智能研究所,教育部图像处理与智能控制重点实验室,湖北武汉,430074 |
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| 摘 要： | 提出了一种基于梯度分割的图像特征提取方法,对低对比度磁光记录薄膜磁畴图像进行处理.该方法采用如下三个步骤:首先,采用Lee滤波器进行预滤波和消除噪声;接下来进行梯度特征分割,将目标区域从背景中提取出来;最后对边缘进行连接并计算磁畴的特性参数.本文重点在于梯度特征分割方法.
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| 关 键 词： | 磁光记录薄膜 磁畴 梯度特征分割 Lee滤波器 |
| 文章编号： | 1001-3830(2004)03-0018-04 |
| 修稿时间： | 2003-09-22 |
Feature Extraction for Magnetic Domain Images of Magneto-optical Recording Films Using Gradient Feature Segmentation |
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| LI Hai-hua,HE Hua-hui,ZHU Quan-qing. Feature Extraction for Magnetic Domain Images of Magneto-optical Recording Films Using Gradient Feature Segmentation[J]. Journal of Magnetic Materials and Devices, 2004, 35(3): 18-21 |
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| Authors: | LI Hai-hua HE Hua-hui ZHU Quan-qing |
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| Affiliation: | LI Hai-hua1,HE Hua-hui1,ZHU Quan-qing2 Department of Electronic Science and Technology,Huazhong University of Science and Technology,Wuhan 430074,China, 2. Institute for Pattern Recognition and Artificial Intelligence,State Key Laboratory for Image Processing and Intelligent Control,Huazhong University of Science and Technology,Wuhan 430074,China |
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| Abstract: | In this paper, we present a method to realize feature extraction on low contrast magnetic domain images of magneto-optical recording films. The method is based on the following three steps: first, Lee-filtering method is adopted to realize pre-filtering and noise reduction; this is followed by gradient feature segmentation, which separates the object area from the background area; finally the 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. |
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| Keywords: | magneto-optical recording magnetic domain gradient feature segmentation Lee filter |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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