摘要
针对轮胎钉孔检测以手工或X光所造成的辐射强、定位不准的问题,设计以机器视觉技术辅助高压放电的检测系统,有效检测钉孔并准确定位。采用大津法(Otsu)完成灰度变换后的图像二值化,并通过跟踪特定颜色的对象跟踪器精确定位钉孔位置。经5组实际测试可准确地识别定位轮胎表面2.5mm及以上直径通孔,检出率达92%。
For the problem that the nail hole detection of the tire is caused by manual or X-ray radiation and the positioning is not accurate,a machine vision technology-assisted high-voltage discharge detection system is designed to effectively detect the nail hole and accurately locate the nail hole.The image is binarized after the gradation transformation is performed by the Otsu,and the position of the nail hole is accurately positioned by tracking a specific color object tracker.After 5 groups of actual tests can accurately identify the location of the tire surface diameter of 2.5 mm and above through holes,the detection rate of 92%.
作者
曹梦龙
霍立斌
CAO Menglong;HUO Libin(College of Automation and Electronic Engineering,Qingdao University of Science and Technology,Qingdao 266061,China)
出处
《青岛科技大学学报（自然科学版）》
CAS
2019年第2期102-107,共6页
Journal of Qingdao University of Science and Technology:Natural Science Edition
基金
国家自然科学基金面上项目(61773227)
江苏省科技计划项目(BC2015046)
关键词
轮胎钉孔检测
机器视觉
灰度变换
大津法
tire hole detection
machine vision
grayscale transformation
otsu method
