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Cuckoo search with Lévy flights for reconstruction of outline curves of computer fonts with rational Bézier curves

机译:使用LévyFlight进行布谷鸟搜索,以使用有理Bézier曲线重建计算机字体的轮廓曲线

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Cuckoo search is a powerful nature-inspired metaheuristics recently introduced by Prof. Xin-She Yang to solve difficult optimization problems. In this paper, we apply this method to solve a very difficult problem: the reconstruction of outline curves of computer fonts with single curves. In particular, we wish to obtain the underlying shape of the outline curves from a set of noisy data points assumed to lie on the boundary separating the body of the font and the (either inner or outer) background. Usually, polynomial Bézier curves are used to this task. However, there are some shapes that cannot properly described with polynomial curves. The classical solution has been to consider composite Bézier curves. This solution works well but it is not optimal, because it requires several curves working together to describe a single outline shape. In this paper, we overcome this limitation by using rational Bézier curves. As we will show, this problem is by far much more complicated than the polynomial one. Our approach is based on the application of the cuckoo search with Lévy flights method to compute all relevant parameters of our approximation problem. To illustrate the applicability of our approach, it is applied to obtain the outline curves of several letters and numbers forming the name of this conference with an artistic computer vector font. Our experimental results show that this approach performs very well, and the outline curves can be reconstructed with very good accuracy. In addition, all (inner and outer) outline shapes can be obtained with just a single curve in each case.
机译:杜鹃搜索是一种功能强大的自然启发式元启发式方法,最近由杨新社教授提出,用于解决困难的优化问题。在本文中,我们将这种方法用于解决一个非常困难的问题:使用单条曲线重建计算机字体的轮廓曲线。特别是,我们希望从假定位于字体主体和(内部或外部)背景的边界上的一组嘈杂数据点中获得轮廓曲线的基本形状。通常,多项式贝塞尔曲线用于此任务。但是,有些形状无法用多项式曲线正确描述。经典的解决方案是考虑复合贝塞尔曲线。该解决方案效果很好,但并不是最佳选择,因为它需要多个曲线一起描述一个轮廓形状。在本文中,我们通过使用有理Bézier曲线克服了这一限制。正如我们将要展示的,这个问题比多项式要复杂得多。我们的方法是基于布谷鸟搜索与LévyFlight方法的应用来计算近似问题的所有相关参数。为了说明我们方法的适用性,此方法用于获得具有艺术性的计算机矢量字体的,构成会议名称的多个字母和数字的轮廓曲线。我们的实验结果表明,该方法性能非常好,轮廓线可以非常精确地重建。另外,所有(内部和外部)轮廓形状在每种情况下都可以仅通过一条曲线获得。

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