一种轮廓提取和内轴线变换的并行细化算法

G. Viswanathan, A. Murugesan, K. Nallaperumal
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引用次数: 7

摘要

本文提出的稀疏算法是一种改进的并行稀疏算法,其目的是在同一过程中实现基于中间轴的稀疏和轮廓提取。在细化过程中,首先从外部边界删除点,然后在内部进行,直到产生一个单像素宽的骨架。在这个过程中,只保留最外层的边界线,然后产生图像的轮廓。因此,在一个算法中,我们得到了骨架化的两大类,即内轴线变换和轮廓提取。对印刷的英文字符进行了实验,结果表明该算法是非常有效的。
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A parallel thinning algorithm for contour extraction and medial axis transform
The thinning algorithm proposed in this paper, is an improved parallel thinning algorithm that aims in both, medial axis based thinning and contour extraction in a same process. In the process of thinning to obtain the medial axis of the character the points are deleted from outer boundary first and then proceeded inside till a single pixel wide skeleton is produced. In this process the outermost boundary line alone is preserved which is then produced as the contour of the image. So within one algorithm we get the two major categories of skeletonization, Medial axis Transform and contour extraction. Experiments are done on printed English characters and the results show that this algorithm is very effective.
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