基于改进Otsu算法的TFT-LCD点缺陷自动光学检测系统

郭波; 管菊花; 黄志开

doi:10.3788/YJYXS20183303.0221

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基于改进Otsu算法的TFT-LCD点缺陷自动光学检测系统

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- 基于改进Otsu算法的TFT-LCD点缺陷自动光学检测系统
- Automatic optical detection system for TFT-LCD spot-type defect based on improved Otsu algorithm
- 液晶与显示 2018年33卷第3期页码：221-227
- 作者机构：
  
  1.南昌工程学院江西省精密驱动与控制重点实验室, 江西南昌 330099
  2.江西机电职业技术学院, 江西南昌 330013
- 作者简介：
  
  [ "郭波(1981-), 男, 山东滨州人, 博士, 讲师, 2003年于南昌航空大学获得学士学位, 2010年于西北工业大学获得硕士学位, 2016年于华南理工大学获得博士学位, 主要从事机器视觉及自动化方面的研究。E-mail:guobo651@126.com" ]
  [ "管菊花(1982-), 女, 山东郯城人, 硕士, 讲师, 2004年于南昌航空大学获得学士学位, 2008年于南昌航空大学获得硕士学位, 主要从事光学自动检测方面的研究。E-mail:dedeandbaobao@126.com" ]
- 基金信息：
  
  国家自然科学基金(61472173);江西省科技厅重点研发计划(20151BBE50083);National Natural Supported by Science Foundation of China(61472173);Key Research and Development Program of Jiangxi Province of China(20151BBE50083)
- DOI：10.3788/YJYXS20183303.0221
  中图分类号： TP278
- 收稿日期：2017-10-15，
  
  录用日期：2017-12-14，
  
  纸质出版日期：2018-03-05
- 稿件说明：
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郭波, 管菊花, 黄志开. 基于改进Otsu算法的TFT-LCD点缺陷自动光学检测系统[J]. 液晶与显示, 2018,33(3):221-227.

Bo GUO, Ju-hua GUAN, Zhi-kai HUANG. Automatic optical detection system for TFT-LCD spot-type defect based on improved Otsu algorithm[J]. Chinese journal of liquid crystals and displays, 2018, 33(3): 221-227.
郭波, 管菊花, 黄志开. 基于改进Otsu算法的TFT-LCD点缺陷自动光学检测系统[J]. 液晶与显示, 2018,33(3):221-227. DOI： 10.3788/YJYXS20183303.0221.

Bo GUO, Ju-hua GUAN, Zhi-kai HUANG. Automatic optical detection system for TFT-LCD spot-type defect based on improved Otsu algorithm[J]. Chinese journal of liquid crystals and displays, 2018, 33(3): 221-227. DOI： 10.3788/YJYXS20183303.0221.

摘要

针对TFT-LCD点缺陷自动光学检测时

缺陷与背景对比度较低难以用传统阈值分割算法处理的难题

提出一种改进的Otsu算法

并构建了TFT-LCD点缺陷自动光学检测系统。首先

通过Gabor滤波去除了纹理背景的影响。然后

利用威布尔函数形态参数分段取值时

其分布函数呈现的不同分布特性

改进了传统Otsu阈值提取函数。最后

进行了离线测试试验和在线测试试验。试验表明

改进的Otsu算法在点缺陷与背景对比度较低的情况下分割效果优于传统Otsu算法。将该算法移植到TFT-LCD点缺陷自动光学检测硬件平台上进行在线测试

正确检测率可达到94%

单个样本最短检测时间可缩短至150 ms。降低了TFT-LCD人工检测点缺陷的工作量和劳动强度。

Abstract

In order to solve the problem that the traditional threshold segmentation algorithm is difficult to detect the spot-type defect from low contrast background

an improved Otsu algorithm is proposed.Based on this

a TFT-LCD spot-type defect automatic optical detection system is constructed.First

the effect of texture background is removed by Gabor filtering.Then

Using the different distribution characteristics of Weibull distribution function when the shape parameter of the Weibull function is segmented

the threshold extraction function of traditional Otsu is improved.Finally

offline test and online test are carried out.The experiment shows that the improved Otsu algorithm can produce better detection result than the traditional Otsu algorithm in the case of low contrast between defects and background.The algorithm is transplanted to the TFT-LCD spot-type defect automatic optical detection hardware platform to test.The correct detection rate can reach 94% and the detection time can be shortened to 150 ms.It reduces the workload and labor intensity of TFT-LCD manual spot-type defect detection.

关键词

Keywords

references

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