A method of image processing with QR code ablated on rough and highly reflective metal surface by laser

doi:10.1051/matecconf/201823202024

CORC > 兰州理工大学 > 兰州理工大学 > 机电工程学院

	A method of image processing with QR code ablated on rough and highly reflective metal surface by laser
	Li, Jianhua 2; Shen, Zhi 2; Yan, Chaoning 2; Dong, Nan 2; Liang, Haimin 1
	2018-11-19
会议日期	October 12, 2018 - October 14, 2018
会议地点	Shanghai, China
关键词	Aluminum castings Classification (of information) Codes (symbols) Ingots K-means clustering Morphology Textures Aluminum ingots Color features Highly reflective Metal surfaces Method of images Multi-feature fusion Otsu algorithm Texture features
卷号	232
DOI	10.1051/matecconf/201823202024
英文摘要	For the purpose of solving the tough problem of the recognition of QR code which is marked on rough and highly reflective metal surface by laser, this work proposes a method of image processing based on multi-feature fusion. This method was requested to establish the integrated feature combined by color feature, texture feature and classify pixel points by means of k-means clustering, then optimize the image of QR code by morphology, Finally, this method was applied to the QR code Laser marking on the AL97 casting aluminum ingots to recognize, then compare with the accepted method OTSU algorithm, The experimental results show that the method is effective obviously. © The Authors, published by EDP Sciences, 2018.
会议录	MATEC Web of Conferences
会议录出版者	EDP Sciences
语种	英语
ISSN号	22747214
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/118135]
专题	机电工程学院
作者单位	1.China Aluminum Limited by Share Ltd Liancheng Branch Company, Lanzhou; 730332, China 2.School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou, Gansu; 730050, China;
推荐引用方式 GB/T 7714	Li, Jianhua,Shen, Zhi,Yan, Chaoning,et al. A method of image processing with QR code ablated on rough and highly reflective metal surface by laser[C]. 见:. Shanghai, China. October 12, 2018 - October 14, 2018.