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: 平面工件的识别与定位方法研究
其他题名: Methods Research of Plane Parts Recognition and Localization Based on Regional Division
作者: 唐宇; 吴清潇; 朱枫
作者部门: 光电信息技术研究室
关键词: 工件分拣 ; 形状特征 ; 目标识别 ; 模板匹配 ; 工件定位
刊名: 机械设计与制造
ISSN号: 1001-3997
出版日期: 2015
期号: 10, 页码:172-175
产权排序: 1
摘要: 视觉技术在工业生产中得到了越来越广泛的应用,对提高生产效率,达到生产智能化的目的起着至关重要的作用。以工业机器人实现工件分拣为背景,提出一种基于区域划分的平面工件识别与定位方法,该方法先利用LSD(Line Segment Detector)进行直线段的提取,然后将干扰的杂线段分类进行剔除,在保留的轮廓线段基础上进行直线段的连接和区域划分,最后利用各个区域的形状特征向量和模板的形状特征向量进行比对,以完成工件的识别和定位。实验结果表明,提出的算法能有效的识别和定位工件。
英文摘要: Vision technology has been widely applied in industry,playing a vital role in improving production efficiency and achieving the purpose of the production of intelligence. For parts sorting of industrial production process,it proposed an algorithm of positioning and recognition of plane parts based on shape feature. Firstly,the algorithm used LSD to extract line segments,and then removed miscellaneous line segments; then processed the retaining outline to complete regional division; last based on the result of regional division,shape feature vector of each region was compared with the shape feature vector of template to complete the recognition and positioning of the parts. Experimental results show that the proposed algorithm can effectively identify and locate parts.
语种: 中文
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/17159
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
平面工件的识别与定位方法研究.pdf(643KB)期刊论文出版稿开放获取View Download
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[唐宇]'s Articles
[吴清潇]'s Articles
[朱枫]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[唐宇]‘s Articles
[吴清潇]‘s Articles
[朱枫]‘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: 平面工件的识别与定位方法研究.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