LCD表面液晶污染的非接触检测新算法

黄妍妍; 姜乐涛; 于 明; 张凤全

doi:null

您当前的位置：

首页 >

文章列表页 >

LCD表面液晶污染的非接触检测新算法

成像技术与图像处理 | 更新时间：2020-08-12

- LCD表面液晶污染的非接触检测新算法
- New Method of Non-Contact Inspection for Liquid Crystal Residues on LCDs Surface
- 液晶与显示 2009年24卷第1期页码：135-139
- 作者机构：
  
  1. 河北工业大学信息工程学院天津,300401
  2. 2. 石家庄经济学院华信学院,河北石家庄,050091
- 作者简介：
- 基金信息：
- DOI：
  中图分类号： TN141.9;TP751.1
- 收稿日期：2008-07-04，
  
  修回日期：1900-01-02，
  
  网络出版日期：2009-02-20，
  
  纸质出版日期：2009-02-20
- 稿件说明：
移动端阅览
黄妍妍;姜乐涛;于明;张凤全. LCD表面液晶污染的非接触检测新算法[J]. 液晶与显示, 2009,24(1): 135-139

HUANG Yan-yan;JIANG Yue-tao;YU Ming;ZHANG Feng-quan. New Method of Non-Contact Inspection for Liquid Crystal Residues on LCDs Surface[J]. 液晶与显示, 2009,24(1): 135-139
黄妍妍;姜乐涛;于明;张凤全. LCD表面液晶污染的非接触检测新算法[J]. 液晶与显示, 2009,24(1): 135-139 DOI：

HUANG Yan-yan;JIANG Yue-tao;YU Ming;ZHANG Feng-quan. New Method of Non-Contact Inspection for Liquid Crystal Residues on LCDs Surface[J]. 液晶与显示, 2009,24(1): 135-139 DOI：

摘要

针对液晶器件的特点

对其表面残留液晶的非接触式检测技术进行了研究

提出了基于迭代阈值分割和数学形态学的边缘检测方法

可以从目标区域中判断出液晶残留形貌与边缘。首先将原图按坐标分成若干子图像

再对子图像进行迭代阈值分割

然后采用不同尺度的结构元素来检测图像边缘

再进行加权合成来获得边缘图像

并从理论上分析了噪声对边缘提取的影响情况。实验表明

该方法很好地抑制了噪声和保持图像边缘细节

并且能够提取出精确且封闭的残留液晶的边缘轮廓

为下一步缺陷特征量的提取与选择奠定了基础。

Abstract

Regarding of the characters of liquid crystal products

the non-contact inspection techniques for surface liquid crystal residues were studied. A novel edge-extraction algorithm based on iterative threshold segmentation method and mathematical morphology was proposed

which could find out the shape and edge of the liquid crystal residue. First

the original image was divided into several sub-images according to coordinate. Then

the iterative threshold segmentation was applied to the sub-images

and the multi-scale structural elements were used to detect the image edge. Finally

they were synthesized in a weighting way so as to form the edge

and the effect of noise on edge-extraction was analyzed in theory. The experimental results indicated that the method could suppress noise and have much stronger ability to preserve edge details

provide accurate and closed region contours

which lays a good foundation for defect feature extraction and selection.

关键词

Keywords

references

. 王巍强.COG工艺的LCD模块电极腐蚀的控制 [J]. 液晶与显示 ,2006,21(6):696-699.

. Gonzalez Rafael C, Woods Richard E, Digital Image Processing [M].BeiJing:Publishing House of Electronics Industry, 2003.

. Elbehiery H, Hefnawy A, Elewa M. Surface defects detection for ceramic tiles using image process and morphological techniques //3rd World Enformatika Conference, Istanbul, Tukey:Cemal Ardil, 2005.

. Hui-Fuang Ng. Automatic thresholding for defect detection [J]. Pattern Recognition Lett., 2006,27:1644-1649.

. Chanad B,Malay K,Padmaja Y.A multi-scale morphologic edge detector [J]. Pattern Recognition, 1998, 31(10):1469-1478.

. Alaknanda R S, Pradeep Kumar. Flaw detection in radiographic weld images using morphological approach [J]. NDT & E International, 2006,39(1):29-33.

. Ravi D. A new active contour model for shape extraction [J]. Math Meth. Appl. Sci., 2000,23:709-722.

. Osworth J H, Acton S T. Morphological Scale-space in Image Processing [J].Digital Signal Processing, 2003, 13(3):338-367.

浏览量

182

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

RGB深度图像显著性目标检测方法设计

基于经验模态分解的激光散斑噪声抑制方法

基于物联网的室内数据采集监控系统

宽窄视角切换技术的制程改善应用于液晶显示屏的节能架构

基于深度学习的木材表面缺陷图像检测