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Optimized polygonal approximations through vertex relocations in contour neighborhoods

机译:通过轮廓邻域中的顶点重定位来优化多边形逼近

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摘要

This paper presents yet another algorithm for finding polygonal approximations of digital planar curves; however, with a significant distinction: the vertices of an approximating polygon need not lie on the contour itself. This approach gives us more flexibility to reduce the approximation error of the polygon compared to the conventional way, where the vertices of the polygon are restricted to lie on the contour. To compute the approximation efficiently, we adaptively define a local neighborhood of each point on the contour. The vertices of the polygonal approximation are allowed to 'move around' in the neighborhoods. In addition, we demonstrate a general approach where the error measure of an already computed polygonal approximation can possibly be reduced further by vertex relocation, without increasing the number of dominant points. Moreover, the proposed method is non-parametric, requiring no parameter to set for any particular application. Suitability of the proposed algorithm is validated by testing on several databases and comparing with existing methods.
机译:本文提出了另一种寻找数字平面曲线多边形近似的算法。但是,有一个明显的区别:近似多边形的顶点不必位于轮廓本身上。与将多边形的顶点限制在轮廓上的常规方式相比,此方法为我们提供了更大的灵活性来减小多边形的逼近误差。为了有效地计算近似值,我们自适应地定义轮廓上每个点的局部邻域。多边形近似的顶点可以在附近“四处移动”。此外,我们演示了一种通用方法,其中可以通过顶点重定位来进一步减少已经计算出的多边形近似的误差,而无需增加优势点的数量。而且,所提出的方法是非参数的,不需要为任何特定应用设置参数。通过在多个数据库上进行测试并与现有方法进行比较,验证了该算法的适用性。

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