燕山大学学报2024，Vol.48Issue(6)：511-518,8.DOI:10.3969/j.issn.1007-791X.2024.06.005
基于图像处理的球笼防尘罩缺陷检测方法
Defect detection method of automobile constant velocity joint boots based on image processing
摘要
Abstract
A real-time defect detection method based on image processing is proposed to address the low efficiency of manual inspection for internal burr defects in the small opening of automobile constant velocity joint boots,thereby automating the quality inspection process and improving production efficiency.First,a series of non-parametric image preprocessing methods are applied to ensure that the original image meets the conditions for edge extraction.Second,a heuristic edge search algorithm is used to obtain the internal edge coordinates of the small opening.Third,the least squares algorithm is employed to fit an ellipse parametric equation,which is then used to calculate the coordinates of matching points.Finally,the presence of internal burr defects in the material is determined by comparing the similarity between the image edges and the fitted ellipse.The experimental results show that the algorithm achieves a 100%detection accuracy on the actual test dataset,and it fully enables real-time detection of internal burr defects in the small opening.关键词
缺陷检测/图像处理/椭圆检测/最小二乘算法Key words
defect detection/image processing/ellipse detection/least squares分类
信息技术与安全科学引用本文复制引用
苏连成,李佳伟,丁伟利..基于图像处理的球笼防尘罩缺陷检测方法[J].燕山大学学报,2024,48(6):511-518,8.基金项目
河北省自然科学基金重点项目(F2021203054) （F2021203054）
河北省创新能力提升计划项目(22567619H) （22567619H）
