文章摘要
马丽萍,崔明,朱培逸.基于机器视觉的汽车安全带的表面缺陷检测系统[J].机床与液压,2018,46(2):134-138.
.Surface Defect Detection System for Seat Belt Based on Machine Vision[J].Machine Tool & Hydraulics,2018,46(2):134-138
基于机器视觉的汽车安全带的表面缺陷检测系统
Surface Defect Detection System for Seat Belt Based on Machine Vision
  
DOI:10.3969/j.issn.1001-3881.2018.02.037
中文关键词: 缺陷检测  机器视觉  滤波器  频谱分析
英文关键词: Defect detection  Machine vision  Filter  Spectrum analysis
基金项目:
作者单位E-mail
马丽萍 江苏联合职业技术学院无锡机电分院 108556570@qq.com 
崔明 江苏联合职业技术学院无锡机电分院  
朱培逸 江苏联合职业技术学院无锡机电分院  
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中文摘要:
      表面缺陷检测是汽车安全带质量检测中的关键环节之一,目前人工检测方法存在效率低、稳定性差的问题,无法满足实际检测需求。搭建一个汽车安全带表面缺陷检测平台,构建基于机器视觉的表面缺陷检测系统。针对汽车安全带的表面缺陷特征,提出一种基于频谱分析的特征提取方法,并讨论频域滤波器的选择和参数的计算。实验结果表明:频谱分析法同Bob特征分析法、直方图法等相比,能更好地满足汽车安全带表面缺陷检测的准确率和实时性要求。
英文摘要:
      Surface defect detection is one of the key links in the quality inspection of seat belt. At present,low efficiency and poor stability exist in artificial detection,so actual detection needs can not meet.The seat belt surface defect detection algorithm was explored based on image processing algorithms to meet the actual demand, and the seat belt surface defect detection system based on machine vision was constructed. Aiming at the characteristics of surface defect of seat belt, a method of feature extracting based on spectrum analysis was presented, and the selection of the filter and the calculation of the parameters were discussed. The experimental results show that the spectrum analysis method has better effect on the detection of surface defects than other detection methods, which can meet the requirements of real time and accuracy.
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