The application of image recognition into the automatic recognition system for truck cab assembly identifier

被引:0
|
作者
Wang, Hua [1 ]
Fu, Hudai [1 ]
Yang, Wei [1 ]
机构
[1] Changchun Inst Technol, Sch Mech Engn, Changchun 130012, Jilin Province, Peoples R China
来源
ICICIC 2006: FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING, INFORMATION AND CONTROL, VOL 2, PROCEEDINGS | 2006年
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The recognition of truck cab assembly identifier is an important working procedure in the completed car assembling. Many different truck models will be assembled in the completed car assembling. It is necessary to recognize the type of truck cab assembly before assembly. An auto-inspection system for truck cab assembly identifier based on computer vision technology has been developed. The identifier image will be gotten by CCD camera by using of LED lights. In order to suit production rhythm of assembly line, SSDA (sequential similarity detection algorithm), quick edge threshold arithmetic and direction statistic eigenvector algorithm have been adopted to obtain the characters of picked image. Thinking of less identifier types and less varieties, direct segmentation of character will be realized by using vertical and horizontal projection. A standard template can be built, considering that the character congregation is small. Minimum distance Recognition has been applied to identify characters. It has proved that the system based on VC++ and Matlab can recognize all kinds of truck cab assembly identifier efficiently in the condition of ensuring production rhythm.
引用
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页码:117 / +
页数:2
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