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In this paper, we present a method to realize feature extraction on low contrast magnetic domain images of magnetooptical (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.

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