Iterative Approach to the Area Collapse Algorithm for 2D Geometric Objects Representing Long Engineering Structures

Michał M. Buczek
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Abstract

Nowadays the amount of gathered raw data emphasizes the importance of further data processing done by skilled engineers aided by computer algorithms. Researchers develop new algorithms for the automated determination of geometrical features, such as symmetry and main axes, skeleton lines, etc. This paper presented a new algorithm to compute an unbranched axis. It was based on the Curve of Minimal Radii (CMR) algorithm, and it overcomes its significant limitations depending on the shape of the input data. To define the accuracy of the results the threshold parameter was introduced. The described approach is more comprehensive than CMR in terms of the object shape. The tests were conducted on several planar objects, and the results were compared with the original CMR axes and Medial Axis.
表示长工程结构的二维几何对象的面积折叠算法迭代法
如今收集的大量原始数据强调了由熟练的工程师借助计算机算法进行进一步数据处理的重要性。研究人员开发了新的算法来自动确定几何特征,如对称和主轴,骨架线等。本文提出了一种计算无分支轴的新算法。该算法基于最小半径曲线(CMR)算法,克服了其依赖于输入数据形状的显著局限性。为了确定结果的准确性,引入了阈值参数。所描述的方法在对象形状方面比CMR更全面。在多个平面物体上进行了实验,并将实验结果与原CMR轴和中轴进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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