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Curve Length Estimation using Vertix Chain Code Curve Length Estimation

机译:使用Vertix链码的曲线长度估计

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Most of the applications in image analysis are based on Freeman chain code. In this paper, for the first time, vertex chain code (VCC) proposed by Bribiesca is applied to improve length estimation of the 2D digitized curve. The chain code has some preferences such as stable in shifting, turning, mirroring movement of image and has normalized starting point. Due to the variety of length estimator methods, we focused on the three specific techniques. First, the way Bribiesca proposed which is based on counting links between vertices; second, based on maximum length digital straight segments (DSSs) and lastly local metrics. The results of these length estimators with the real perimeter are compared. Results thus obtained exhibits that length estimation using VCC is nearest to the actual length.
机译:图像分析中的大多数应用程序都基于Freeman链代码。本文首次将Bribiesca提出的顶点链代码(VCC)用于改进2D数字化曲线的长度估计。链码具有一些偏爱,例如在图像的移位,转向,镜像运​​动中稳定并且具有标准化的起点。由于长度估算器方法的多样性,我们将重点放在三种特定技术上。首先,Bribiesca提出的方法是基于计算顶点之间的链接;第二,基于最大长度的数字直线段(DSS)和最后的本地指标。将这些长度估算器的结果与实际周长进行比较。由此获得的结果表明,使用VCC进行的长度估计最接近实际长度。

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