Sole Arch Width Extraction Using Greedy Algorithm

Xingting Pei, Wenju Zhou, Haikuan Wang
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Abstract

In footwear production, the size of sole should be checked to match the corresponding upper before combining them. At present, manual recognition method and traditional machine vision method is not able to recognize unlabelled sole. In this paper, we propose a novel method to extract the feature parameter of unlabelled sole to recognize its size. The feature parameter is the arch width of the sole which has a quality with shape invariance. An innovative greedy algorithm was proposed to get the arch width. The algorithm adopts successive approximation method to extracted the shortest width of sole. Experimental results show that the arch width extraction method proposed in this paper can be effectively used to recognize the size of sole.
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基于贪心算法的鞋底拱宽提取
在制鞋过程中,鞋底的尺寸应与相应的鞋面尺寸相匹配,然后再进行组合。目前,人工识别方法和传统的机器视觉方法都无法识别无标签鞋底。本文提出了一种提取无标签鞋底特征参数的新方法,用于鞋底尺寸识别。特征参数是鞋底的弓宽,它具有形状不变性。提出了一种新颖的贪心算法来获取拱宽。该算法采用逐次逼近法提取鞋底的最短宽度。实验结果表明,本文提出的足弓宽度提取方法可以有效地用于鞋底尺寸识别。
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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