Instability Factor Analysis of the Vision-based Online Calibration System For Linear Measuring Tools

被引：0
|
作者：
Chen, Yingsong [1 ]
Zhang, Huijie [1 ]
Yin, Yufang [1 ]
Wu, Lihong [1 ]
机构：
[1] Chengdu Technol Univ, Chengdu, Sichuan, Peoples R China
来源：
2019 IEEE 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION ENGINEERING TECHNOLOGY (CCET) | 2019年
关键词：
Linear measuring tools; Instability; Distortion error; Machine vision; Calibration;
D O I：
10.1109/ccet48361.2019.8989390
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A vision-based online calibration system for linear measuring tools is introduced in this paper. It includes sensors, light sources, detection software, etc, comprehensively analyses the factors leading to instability of the system, explores the mechanism of instability factors of the system, and puts forward scientific and reliable detection methods. These factors are considered comprehensively to optimize the vision system, in order to establish a stable and qualified machine vision inspection system. Aiming at the distortion error caused by lens, a method of correcting the original distortion image is introduced in this paper by establishing a model based on grid correction method and calculating distortion parameters.
引用
收藏
页码：21 / 25
页数：5
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