天津科技大学学报Issue(3)：63-67,5.DOI:10.13364/j.issn.1672-6510.2014.03.013
基于机器视觉的金属罐内壁缺陷检测
Detecting Defects of Metal Cans’ Inner Wall Based on Machine Vision
胡晓彤 1董莹莹1
作者信息
- 1. 天津科技大学计算机科学与信息工程学院，天津 300222
- 折叠
摘要
Abstract
The quality testing of the inner wall of the metal cans was studied,a detecting system of metal cans’ inner wall based on machine vision was developed by using of Visual Studio 2010,and the detecting system can realize the automatic detection of defects in the inner wall of the metal cans. According to the particularity of the inner wall of metal cans,red dome lights and numeric camera were used to capture images.The study includes image acquisition,image processing, testing region location and defect detection.The metal pot,inner wall and welding parts can be detected by mean of suitable image processing algorithm.Then the detecting speed was optimized by using multi-threading technology. Experiments show that for the chosen metal can,the speed of the defect detecting system can reach 600 per minute,which can meet the high speed demand of production lines.关键词
机器视觉/金属罐内壁/图像处理/缺陷检测Key words
machine vision/inner wall of metal cans/image processing/defect detection分类
信息技术与安全科学引用本文复制引用
胡晓彤,董莹莹..基于机器视觉的金属罐内壁缺陷检测[J].天津科技大学学报,2014,(3):63-67,5.
