A Fault Detection Method Based on SIFT Algorithm

Qi Huan, Hongyu Yi, Daolin Qu, Chunyuan Wang, Dianchun Bai
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Abstract

This paper, based on an improved SIFT algorithm, is applied to the vision system of a plug-in machine. The purpose is to judge whether a part of the component to be inserted is damaged or deflected. SIFT algorithm has many good characteristics, but there are a lot of redundant points and mismatched points in the matching results. In this paper, an improved SIFT algorithm is proposed, and a more simple and intuitive method is adopted to filter out a large number of redundant points and mismatched points in the SIFT feature matching results, which is applied to the special case of insert machine to identify the damage and deflection Angle of a part of the component.
基于SIFT算法的故障检测方法
本文基于改进的SIFT算法,将其应用于插入式机器的视觉系统。目的是判断要插入的部件的某一部分是否损坏或偏转。SIFT算法具有许多良好的特性,但在匹配结果中存在大量的冗余点和不匹配点。本文提出了一种改进的SIFT算法,采用一种更简单直观的方法,过滤掉SIFT特征匹配结果中的大量冗余点和不匹配点,并将其应用于插齿机的特殊情况,用于识别部件某部分的损伤和偏转角度。
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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