CAJ | 학술논문

采用基于机器视觉的检测系统替代人工检测方式，对发动机气门电镦成型加工过程中气门棒料入模状态进行检测。通过对气门棒料入模状态的图像处理分析，检测气门棒料是否正常入模，以提高发动机气门生产的合格率。对比分析了灰度平均值法、灰度腐蚀以及空域和频域下模板匹配这四种可行视觉检测方案的实验结果，证明了灰度平均值视觉检测方案具有良好的时效性与准确性，能够满足发动机气门电镦成型对气门入模状态检测的性能要求。
채용기우궤기시각적검측계통체대인공검측방식，대발동궤기문전대성형가공과정중기문봉료입모상태진행검측。통과대기문봉료입모상태적도상처리분석，검측기문봉료시부정상입모，이제고발동궤기문생산적합격솔。대비분석료회도평균치법、회도부식이급공역화빈역하모판필배저사충가행시각검측방안적실험결과，증명료회도평균치시각검측방안구유량호적시효성여준학성，능구만족발동궤기문전대성형대기문입모상태검측적성능요구。
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.