Automatic blemish detection in liquid crystal flat panel displays

计算机科学 液晶 液晶显示器 计算机图形学(图像) 光学 平板 计算机视觉 物理 操作系统
作者
William B. Pratt,Sunil S. Sawkar,Kevin O'Reilly
出处
期刊:Proceedings of SPIE 被引量:34
标识
DOI:10.1117/12.301232
摘要

Visual defects sometimes occur during the manufacturing of flat panel liquid crystal displays (LCDs). One class of defects includes a variety of blemishes variously called stain (English), mura (Japanese) or alluk (Korean). These blemishes appear as low contrast, non-uniform brightness regions, typically larger than single pixels. They are caused by a variety of factors such as non-uniformity distributed liquid crystal material and foreign particles within the panel. Such blemishes cannot be repaired. Automatic inspection systems, designed for pixel and line defect detection, have had difficulty accurately detecting and quantifying LCD blemishes. At present, most blemish detection is performed by human inspectors. This paper describes a recently developed automatic inspection system, which reliably detects, quantifies and classifies LCD blemishes in the presence of single pixel and line pixel defects that tend to obscure the subtle blemishes. The algorithm underlying this system, called MuraLookTM, uses conventional image processing operators such as convolutional filtering, morphological filtering and blob shape analysis under region-of-interest control in a novel combination to systematically separate each of over twenty different blemish patterns. Strength measures for each class of blemish are used under human operator control to grade each blemish as pass or fail. The paper discusses various types of defects in LCD panels and relates them to the MuraLook system defect class patterns. The architecture of the MuraLook defect detection system is described.© (1998) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
不二发布了新的文献求助10
刚刚
小蘑菇应助郭志倩采纳,获得10
刚刚
量子星尘发布了新的文献求助150
1秒前
爆米花应助zhz采纳,获得10
2秒前
pywangsmmu92完成签到,获得积分10
2秒前
云汐儿发布了新的文献求助10
3秒前
tannie完成签到 ,获得积分10
3秒前
3秒前
4秒前
pbj完成签到,获得积分10
4秒前
啊啊啊苏完成签到 ,获得积分20
4秒前
4秒前
慎二完成签到 ,获得积分10
6秒前
琵琶完成签到,获得积分10
6秒前
ruby发布了新的文献求助20
7秒前
7秒前
betty2009发布了新的文献求助10
8秒前
粥里完成签到,获得积分10
8秒前
9秒前
呦吼发布了新的文献求助10
9秒前
LRxxx完成签到 ,获得积分10
9秒前
10秒前
针真滴发布了新的文献求助10
10秒前
丁丁丁给丁丁丁的求助进行了留言
11秒前
Zephyr完成签到,获得积分10
11秒前
飞柏完成签到,获得积分10
11秒前
惠么完成签到,获得积分10
12秒前
八百标兵奔南坑完成签到,获得积分10
12秒前
Espoir发布了新的文献求助10
13秒前
背后幻姬发布了新的文献求助10
14秒前
杨家辉完成签到,获得积分10
14秒前
15秒前
15秒前
煜琪发布了新的文献求助10
15秒前
DduYy完成签到,获得积分10
15秒前
16秒前
17秒前
17秒前
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Zeolites: From Fundamentals to Emerging Applications 1500
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
Comprehensive Computational Chemistry 2023 800
2026国自然单细胞多组学大红书申报宝典 800
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4911732
求助须知:如何正确求助?哪些是违规求助? 4187158
关于积分的说明 13003078
捐赠科研通 3955101
什么是DOI,文献DOI怎么找? 2168564
邀请新用户注册赠送积分活动 1187030
关于科研通互助平台的介绍 1094282