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A New Method of Breakpoint Connection using Curve Features for Contour Vectorization

机译:使用曲线特征进行轮廓矢量化的断点连接的一种新方法

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摘要

Connection of break points is a vital and difficult problem during contour vectorization for digital image, such as scanned maps and engineering drawings. In this paper a novel algorithm is proposed for breakpoint connection using curve features. Three features including curve distance, tangent angle and average curvature, are defined and analyzed. Then the features are normalized and fused into one energy function to represent the connection probability. Based on the probability function, all candidate connections for one breakpoint are compared and the most suitable result is determined. With the help of image preprocessings including denoising, binarization and thinning, our method has been tested with experiments on real images, and the results prove its efficiency.
机译:断点的连接是数字图像的轮廓向量化期间的一个至关重要的问题,例如扫描地图和工程图。 本文提出了一种新颖的算法,用于使用曲线特征进行断点连接。 定义和分析包括曲线距离,切线角度和平均曲率的三个特征。 然后,该特征被归一化并融合成一个能量函数以表示连接概率。 基于概率函数,比较一个断点的所有候选连接,并确定最合适的结果。 借助于图像预处理,包括去噪,二值化和变薄,我们的方法已经用实验测试了实验,结果证明了其效率。

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