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基于机器视觉的发动机气门入模状态检测

万好 肖尧先 李伟光

机电工程技术Issue(4):7-11,5.
机电工程技术Issue(4):7-11,5.DOI:10.3969/j.issn.1009-9492.2014.04.003

基于机器视觉的发动机气门入模状态检测

The Status Measurement of Engine Valve into Die Based on Machine Vision

万好 1肖尧先 1李伟光2

作者信息

  • 1. 南昌航空大学航空制造工程学院,江西南昌 330063
  • 2. 华南理工大学机械与汽车工程学院,广东广州 510641
  • 折叠

摘要

Abstract

The system of detecting the valve status into die is based on machine vision instead of manual test mode. The principle is that detect whether the valve into die is correct through the result of processing and analyzing the gotten image of valve status. The method can improve the production yield. There are four viable visual detection methods which are average gray-value, gray scale corrosion, template match in area space and template match in frequency space. By comparing the four methods find that the method based on the average gray-value has good timeliness and accuracy which meet performance requirements of the detection.

关键词

机器视觉/发动机气门/图像处理/状态检测

Key words

machine vision/engine valve/image processing/status measurement

分类

信息技术与安全科学

引用本文复制引用

万好,肖尧先,李伟光..基于机器视觉的发动机气门入模状态检测[J].机电工程技术,2014,(4):7-11,5.

基金项目

国家自然科学基金 ()

机电工程技术

1009-9492

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