纺织学报 ›› 2007, Vol. 28 ›› Issue (8): 124-128.

• 综合述评 • 上一篇    

基于机器视觉的坯布自动检测技术

李勇;周颖;尚会超;欧阳诚梓   

  1. 中原工学院机电学院 河南郑州450007
  • 收稿日期:2006-10-19 修回日期:2007-04-17 出版日期:2007-08-15 发布日期:2007-08-15

Automatic grey inspection technology based on machine vision

LI Yong;ZHOU Ying;SHANG Huichao;OUYANG Chengzi   

  1. (School of Machinery and Electricity;Zhongyuan University of Technology;Zhengzhou;Henan 450007;China)
  • Received:2006-10-19 Revised:2007-04-17 Online:2007-08-15 Published:2007-08-15

摘要: 针对我国纺织品检测大多采用人工检测,检测速度低,误检率、漏检率高等问题,提出了实现织物疵点检测自动化、鲁棒性的设计理念。介绍了目前国内外在织物检测方面的主要识别方法以及织物自动检测系统的研究成果,阐述了机器视觉软、硬件技术的发展现状及目前机器视觉技术在纺织检测应用中存在的问题;分析并提出研制分布式的、面向高速生产线的鲁棒机器视觉检测技术是适合我国坯布自动检测系统的研究方向。

Abstract: In textile inspection,fabric defects are usually detected by human inspectors.For solving these problems,such as low efficiency,high rate of errors and missing inspections,a new design idea is presented to achieve automatic inspection of the fabric using robustness operation.The major identification methods in fabric inspection and the research achievements in automatic fabric inspection system at home and broad are introduced.The current status and developing trends of software and hardware technology for machine vision are discussed,along with the existent problems in respect to its application to fabric inspection.Finally,it pointed out that developing a distributed robust machine vision detection technology,aiming at high speed product line,is the research and development direction of automatic grey cloth inspection system which is suitable for our country′s situations.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!