基于机器视觉的精密机械零件表面磨损缺陷检测
Detection of Surface Wear Defects in Precision Mechanical Parts Based on Machine Vision
张新1
作者信息
- 1. 贵州航天职业技术学院,遵义 563000
- 折叠
摘要
针对当前精密机械零件质检中表面磨损缺陷检测精度不高的问题,提出一种基于机器视觉的精密机械零件表面磨损缺陷检测方法.该方法利用高清相机拍摄零件表面图像,结合均值滤波和空间阈值法进行图像处理,优化特征提取,最后利用机器视觉算法实现磨损缺陷的准确检测.实验证明,该方法的查全率和查准率均在 90%以上,具有较高的检测精度,有效解决了精密机械零件表面磨损缺陷检测问题,为精密机械制造领域提供了一种可靠的质检方案.
Abstract
Aiming at the low precision of surface wear defect detection in precision machinery parts quality inspection,a method of surface wear defect detection based on machine vision is proposed.The method uses high definition camera to capture the surface images of parts,combined with mean filtering and spatial threshold method for image processing,optimized feature extraction,and finally uses machine vision algorithm to achieve accurate detection of wear defects.The experimental results show that the method has a high detection accuracy of above 90%in both recall rate and precision rate,and can effectively solve the problem of surface wear defect detection of precision machinery parts.This research provides a reliable quality inspection solution for the field of precision machinery manufacturing.
关键词
机器视觉/精密机械零件/表面磨损/缺陷检测/均值滤波法Key words
machine vision/precision mechanical parts/surface wear/defect detection/mean filtering method引用本文复制引用
出版年
2024
NETL
NSTL
万方数据