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Proceedings Paper

Feature extraction for magnetic domain images of magneto-optical recording films using gradient feature segmentation
Author(s): Quanqing Zhu; Xuecheng Zou; Xinsai Wang; Haihua Li; Xubang Shen
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Paper Abstract

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.

Paper Details

Date Published: 21 September 2001
PDF: 4 pages
Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441481
Show Author Affiliations
Quanqing Zhu, Huazhong Univ. of Science and Technology (China)
Xuecheng Zou, Huazhong Univ. of Science and Technology (China)
Xinsai Wang, Huazhong Univ. of Science and Technology (China)
Haihua Li, Huazhong Univ. of Science and Technology (China)
Xubang Shen, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 4550:
Image Extraction, Segmentation, and Recognition

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