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Title:A character inspection method on tire mould surface based on machine vision
Authors: Chen Yuchao1  Cai Nian1  Liu Gen1  Zhang Fu1 Li Yuanshi2  Wang Han2  Chen Xindu2 
Unit: Guangdong University of Technology 
KeyWords: tire mould  machine vision  image locating  character inspection  system acquisition 
ClassificationCode:TG315.9
year,vol(issue):pagenumber:2016,41(12):127-130
Abstract:

 To implement the automatic inspection for characters on the tire mould surface, a character inspection system for tire mould was proposed based on machine vision. According to the features of the tire mould, the automatic inspection equipment was designed based on machine vision, and its working principle was introduced. Then, the corresponding image processing methods were designed mainly including image preprocessing, image location and character inspection etc. Finally, the feasibility and validity were tested by experiments, and the causes of errors were analyzed. The experimental results indicate that the automatic inspection system can inspect the characters on the tire mould surface with advantages of time-saving, high precision and fast detection.

 
Funds:
基金项目:国家自然科学基金资助项目(61001179,51305084);广东省科技计划项目(2015B010124001,2015B010102014,2015B010104006);广东省自然科学基金研究团队项目(2015A030312008)
AuthorIntro:
作者简介:陈裕潮(1991-),男,硕士研究生 E-mail:361384829@qq.com 通讯作者:蔡念(1976-),男,博士,副研究员 E-mail:cainian@gdut.edu.cn
Reference:

 
[1]冯民堂,白文波,李志刚. 我国轮胎模具行业现状和发展趋势
[J]. 模具工业,2010,36(6):1-5.


 

Feng M T, Bai W B, Li Z G. The status and trend of development of tire mould industry in China
[J]. Mould Industry, 2010, 36 (6): 1-5.

 

 


[2]唐利虎,林华钊,林士棣,等.一种用于轮胎模具侧板表面字样的识别检测装置
[P].中国:201510316249.8,2015-06-10

 

Tang L H, Lin H Z, Lin S D, et al. An automatic inspection device for characters on the tire mould side panel
[P]. China: 201510316249.8, 2015-06-10.

 


[3]Nian C, Jianfa L, Qian Y, et al. A new IC solder joint inspection method for an automatic optical inspection system based on an improved visual background extraction algorithm
[J]. IEEE Transactions on Components, Packaging and Manufacturing Technology, 2016, 6(1): 161-172.

 


[4]杨延竹,盛佳伟. 一种基于双目视觉的轴类锻件几何尺寸测量方法
[J]. 锻压技术,2016,41(3):105-109.

 

Yang Y Z, Sheng J W. A geometric parameters measurement method based on binocular vision in shaft forging
[J]. Forging & Stamping Technology, 2016, 41 (3): 105-109.

 


[5]阎镭,梁冬泰,向桂山,等. 机器视觉在自动化生产线状态检测与故障诊断中的应用
[J]. 液压与气动,2006,(12):65-68

 

Yan L, Liang D T, Xiang G S, et al. The application of machine vision in state monitoring and fault diagnosis for automatic product line
[J]. Hydraulics & Pneumatics, 2006, (12): 65-68.

 


[6]Cao J H,Lu C H,Shi C Y. Product quality on-line inspecting for the pressed protuberant character on a metal tag
[J]. Image and Vision Computing, 2007, (25): 1255-1262.

 


[7]朱虹,王立军, 杨海.基于圆弧拟合的非圆二次曲线加工技术研究
[J]. 机械设计与制造, 2012,(12):227-229.

 

Zhu H, Wang L J, Yang H. A study of processing technology about non-circular conic curve based on circular fitting
[J]. Machinery Design & Manufacture, 2012, (12): 227-229.

 


[8]宋毅,崔平远,居鹤华. 一种图像匹配中SSD和NCC算法的改进
[J]. 计算机工程与应用,2006,(2):42-44.

 

Song Y, Cui P Y, Ju H H. A computational optimization method of the SSD and NCC algorithms of the stereo matching
[J]. Computer Engineering and Applications, 2006, (2): 42-44.

 


[9]王成,刘金刚. 一种改进的字符串匹配算法
[J]. 计算机工程,2006,(2):62-64.

 

Wang C, Liu J G. An improved string matching algorithm
[J]. Computer Engineering, 2006, (2): 62-64.

 


[10]Li Y H, Lopresti D, Nagg G, et al. Validation of image defect models for optical character recognition
[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996,18(2): 99-108.
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