J4 ›› 2011, Vol. 49 ›› Issue (05): 911-917.

• 计算机科学 • 上一篇    下一篇

冷轧带钢表面缺陷视觉检测系统

杨永敏, 樊继壮, 赵杰   

  1. 哈尔滨工业大学 机电工程学院, 哈尔滨 150080
  • 收稿日期:2011-01-28 出版日期:2011-09-26 发布日期:2011-09-27
  • 通讯作者: 杨永敏 E-mail:hitymyang@163.com

Cold Rolling Strip Surface Defect Vision Detection Sys

YANG Yongmin, FAN Jizhuang, ZHAO Jie   

  1. College of Mechanical Engineering, Harbin Institute of Technology, Harbin 150080, China
  • Received:2011-01-28 Online:2011-09-26 Published:2011-09-27
  • Contact: YANG Yongmin E-mail:hitymyang@163.com

摘要:

基于多级分类和模块化设计思想设计一套基于机器视觉的冷轧带钢表面缺陷检测系统. 该系统硬件采用自行研制的高速线阵CCD图像采集器及配套的高速光纤图像采集卡、 高速FPGA图像处理卡和多核处理器; 软件采用RTAILinux实时操作系统及并行处理策略, 确保了系统的实时性. 图像分割并行处理实验表明, 四核处理器的处理速度是单核处理器的3.2倍, 显著提高了系统的处理性能.

关键词: 表面缺陷, 图像处理, 模块化, 并行处理

Abstract:

The cold rolling strip surface defect detection system based on machine vision was designed with multiclassification and modularization idea. For realizing realtime characteristics of system, highspeed linear CCD camera and relational highspeed fiber image collection card, highspeed FPGA image processing card designed by ourselves were adopted in hardware; RTAILinux operation system and parallel processing method were adopted in software. Image segmentation parallelization experiment result indicates that the processing speed of quadcore processor is 3.2 times faster than that of single core; and the system’s performance is improved effectively.

Key words: surface defect, image process, modularization, parallel processing

中图分类号: 

  • TP391.4