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通过对自适应形态学边缘增强方法的改进，使得二值化结果有效地保留了红外图像的边界特征，是一种有效、实用的图像二值化方法。
The clear edge of the binary result by improving the morphologic edge enhancement method is got. The results show that it is a valid and practical image binarization method.
在二值化中采用局部自适应方法与传统的固定阀值方法作比较，细化中运用了数学形态学的方法，对指纹图像进行细化。
We compare local self-adaptive way with the fixed value in binarization, and use mathematical morphology method to thin image.
在对数学形态学算子和传统形态滤波器研究的基础上，提出了基于自适应LMS算法的广义形态滤波器。
On the basis of the research of the morphological operator and traditionally morphology filter, the paper proposes the generalized morphology filter founded on LMS adaptive algorithm.
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