机械科学与技术2024，Vol.43Issue(8)：1394-1402,9.DOI:10.13433/j.cnki.1003-8728.20230046
不均匀光照下带钢表面缺陷检测方法的研究
Study on Detection Method of Surface Defects of Strip Steel Under Uneven Illumination
摘要
Abstract
Aiming at the problems of uneven illumination and complex defect types on the strip surface,which lead to low defect detection accuracy,a strip defect detection method based on gradient similarity-guided template is proposed.First,on the basis of estimating the background template with a two-dimensional Gaussian function,the selection of the optimal parameters is guided by the gradient similarity;secondly,the image difference operation is performed on the original image and the optimized background template to eliminate some uneven illumination,and at the same time a piecewise function is constructed to compensate the difference image for illumination,and the Meanshift algorithm is used to remove noise to further enhance the difference image.Finally,the improved K-means algorithm is used to perform cluster segmentation and combined with regional markers to achieve accurate detection of different defects on the strip surface.The experimental results show that the method can accurately detect various surface defects of strip steel such as inclusions,pits,pickling,and scratches under uneven illumination,and the recall rate and accuracy reach 93.2%and 96.8%,respectively.关键词
不均匀光照/图像差分/K-means聚类分割/表面缺陷检测Key words
uneven illumination/image difference/K-means clustering segmentation/surface defect detection分类
信息技术与安全科学引用本文复制引用
黄新波,孙苏珍,张烨,李博涛,任玉成,赵隆..不均匀光照下带钢表面缺陷检测方法的研究[J].机械科学与技术,2024,43(8):1394-1402,9.基金项目
陕西省自然科学基础研究计划(2022JQ-568)与陕西省教育厅科研计划项目(21JK0661) （2022JQ-568）
