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

机译:利用曲线特征进行轮廓矢量化的断点连接新方法

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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(例如,扫描的地图和工程图)的轮廓矢量化过程中一个至关重要的难题。本文提出了一种新的曲线特征断点连接算法。定义并分析了曲线距离,切线角和平均曲率这三个特征。然后将特征标准化并融合到一个能量函数中,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。借助包括降噪,二值化和细化在内的图像预处理,我们的方法已经在真实图像上进行了实验测试,结果证明了该方法的有效性。

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