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Accurate junction detection and reconstruction in line-drawing images

机译:线描图像中的精确结检测和重构

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In this paper, we present an approach for junction detection and reconstruction in line-drawing images. Our approach is shifted to a problem of high curvature point detection from the skeleton of image. Like this, it is independent of any vectorization process and parameter free. The junction reconstruction stage takes benefit of the reliable skeleton segments and their topological relations to reconstruct junctions and make their positions accurate. The experimental results show that the proposed method is competitive with other baseline methods and can achieve accurate junction detection with some pixel errors.
机译:在本文中,我们提出了一种在线条画图像中进行结点检测和重建的方法。我们的方法从图像的骨架转向了高曲率点检测的问题。这样,它独立于任何矢量化过程且不受参数限制。交汇点重建阶段利用可靠的骨架线段及其拓扑关系来重建交汇点并使其位置准确。实验结果表明,该方法与其他基线方法相比具有竞争优势,并且可以实现精确的结点检测,但存在一些像素误差。

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