桂林理工大学学报2016，Vol.36Issue(4)：838-843,6.DOI:10.3969/j.issn.1674-9057.2016.04.032
基于机器视觉的轮胎挤出部件外形尺寸在线测量方法
On-line measurement for extrusion parts size based on machine vision
摘要
Abstract
In order to study the non-contact on-line measuring method of the rubber tire extrudering external dimensions,machine vision technology was introduced.Firstly,the image data acquired by the CCD is filtered.Then,the edge of the image is refined by the improved Canny edge detection algorithm,and the sub-pixel is subdivided by the polynomial interpolation method on the basis of the single pixel edge.Finally,the least square method is used to fit the edge data,and the external dimension of the extruded part is calculated according to the system calibration value.This method is applied to the measurement of the outer dimensions of the rubber tire extrusion parts.The results show that the method has good real-time performance and accuracy,and can meet the requirements of industrial inspection for continuous production of extruded parts.关键词
机器视觉/挤出部件/边缘检测/亚像素Key words
machine vision/extrusion parts/edge detection/sub-pixel分类
信息技术与安全科学引用本文复制引用
孙保燕,张惊涛,程昂..基于机器视觉的轮胎挤出部件外形尺寸在线测量方法[J].桂林理工大学学报,2016,36(4):838-843,6.基金项目
广西“漓江学者”专项经费项目 （）
广西科学研究与技术开发计划项目(桂科攻1412206-14) （桂科攻1412206-14）
桂林电子科技大学研究生教育创新计划项目(YJCXS201510) （YJCXS201510）
