测控技术2017，Vol.36Issue(9)：31-34,4.
基于机器视觉的护套编织线缺陷检测系统设计
Detection System Design for Sheath Braid Defect Based on Machine Vision
摘要
Abstract
Several defects of braided sheath during the braiding process of superconducting wire are analyzed.First,a clear picture is obtained by filtering,as the image acquisition is a dynamic process,the image coordinate needs to be corrected,and the image is segmented by the reference coordinates of the template.To eliminate the defects of freckle and color difference on the surface of braided wire,the template image is formulated.By comparing the real-time detection image and the template image,the difference image is obtained,and the difference feature is obtained by binary processing and filtering,thus to determine whether the real-time image is defective by comparing the region and size of the difference feature and the set differential threshold.Secondly,by analyzing the clews defects in braiding process,the information out of edge is obtained by edge detection,binary processing and template comparison,thus to identify a defect by comparing the shape and area size and the thresholds.Through many experiments on real-time images,the results can accurately determine the defects of the braided wire.关键词
坐标校对/图像分割/边缘检测/二值化处理Key words
coordinate correction/image segmentation/edge detection/binary processing分类
信息技术与安全科学引用本文复制引用
高雅,朱秦岭,王珑..基于机器视觉的护套编织线缺陷检测系统设计[J].测控技术,2017,36(9):31-34,4.基金项目
陕西省农业科技攻关与创新计划资助项目(2016NY-164) （2016NY-164）
