中国科学院沈阳自动化研究所机构知识库
Advanced  
SIA OpenIR  > 光电信息技术研究室  > 期刊论文
题名: Heuristic hybrid genetic algorithm based shape matching approach for the pose detection of backlight units in LCD module assembly
作者: Cai HY(蔡慧英); Zhu F(朱枫); Wu QX(吴清潇); Li SC(李思聪)
作者部门: 光电信息技术研究室
关键词: Pose detection ; Backlight unit ; Heuristic hybrid genetic algorithm ; Dominant orientation
刊名: International Journal of Advanced Manufacturing Technology
ISSN号: 0268-3768
出版日期: 2016
页码: 1-11
收录类别: EI
产权排序: 1
摘要: Backlight unit (BLU) and open cell are two critical parts of the liquid crystal display (LCD) module (LCM) which is the most significant component of LCD TV. To place the open cell into a BLU automatically using an assembly robot, this paper proposes a heuristic hybrid genetic algorithm (HHGA) based shape matching approach to detect the pose (orientation and position) of the BLU. The approach takes advantages of line structures of the BLUs to avoid the most time-consuming exhaustive search. Firstly, obtain initial orientation of a BLU by the dominant orientations which can be obtained with the statistical gradient orientation histograms. Secondly, search the optimal pose through the HHGA which mainly consists of local search strategy, crossover strategy, clone strategy, and mutation strategy. Local search strategy is designed according to the rising trend of matching features around the optimal pose and along the lines. Crossover and clone are heuristic strategies designed according to the distribution characteristics of local maxima to produce new meaningful offspring. Mutation is a necessary strategy to keep the diversity of the population. The performance of the proposed approach has been tested on an image database acquired from the LCM assembly lines and compared with standard hybrid GA and exhaustive search by a new statistical indicator. Experimental results show that the proposed approach has a high efficiency within limited time and is suitable for the pose detection of the BLUs.
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/18495
Appears in Collections:光电信息技术研究室_期刊论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
Heuristic hybrid genetic algorithm based shape matching approach for the pose detection of backlight units in LCD module assembly.pdf(1296KB)期刊论文作者接受稿开放获取View Download

Recommended Citation:
Cai HY,Zhu F,Wu QX,et al. Heuristic hybrid genetic algorithm based shape matching approach for the pose detection of backlight units in LCD module assembly[J]. International Journal of Advanced Manufacturing Technology,2016:1-11.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[蔡慧英]'s Articles
[朱枫]'s Articles
[吴清潇]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[蔡慧英]‘s Articles
[朱枫]‘s Articles
[吴清潇]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: Heuristic hybrid genetic algorithm based shape matching approach for the pose detection of backlight units in LCD module assembly.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2016  中国科学院沈阳自动化研究所 - Feedback
Powered by CSpace