文件名称:030103
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- 2012-11-26
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细化广泛应用于图像处理与模式识别。从细化得到的骨架不但保持了原图像的几何和拓扑特征，而且更重要的
是减少了图像的冗余。细化算法多种多样，本文介绍了一种简单但却具备其它算法优势的细化算法。本算法仅使用几
条简单的规则来决定是否删除像素点，以达到细化的目的。经计算机模拟该算法对汉字的处理过程，证实其快速且易于
实现。
-Thinning is widely used in image processing and pattern recognition. Skeleton obtained from the refinement of the original image not only maintain the geometrical and topological features, and more importantly, a reduction of redundant images. A variety of thinning algorithm, this paper introduces a simple algorithm but it has other advantages of the thinning algorithm. This algorithm uses only a few simple rules to decide whether to delete pixels in order to achieve the purpose of refinement. By computer simulation of the algorithm to processing of Chinese characters, confirming its fast and easy to implement.
是减少了图像的冗余。细化算法多种多样，本文介绍了一种简单但却具备其它算法优势的细化算法。本算法仅使用几
条简单的规则来决定是否删除像素点，以达到细化的目的。经计算机模拟该算法对汉字的处理过程，证实其快速且易于
实现。
-Thinning is widely used in image processing and pattern recognition. Skeleton obtained from the refinement of the original image not only maintain the geometrical and topological features, and more importantly, a reduction of redundant images. A variety of thinning algorithm, this paper introduces a simple algorithm but it has other advantages of the thinning algorithm. This algorithm uses only a few simple rules to decide whether to delete pixels in order to achieve the purpose of refinement. By computer simulation of the algorithm to processing of Chinese characters, confirming its fast and easy to implement.
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