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

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

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 c...

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Main Authors: Li Jianhua, Shen Zhi, Yan Chaoning, Dong Nan, Liang Haimin
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201823202024
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spelling doaj-0372bc22231448118c7fb7ada6d829762021-02-02T05:57:58ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012320202410.1051/matecconf/201823202024matecconf_eitce2018_02024A method of image processing with QR code ablated on rough and highly reflective metal surface by laserLi Jianhua0Shen Zhi1Yan Chaoning2Dong Nan3Liang Haimin4School of Mechanical & Electronical Engineering, Lanzhou university of TechnologySchool of Mechanical & Electronical Engineering, Lanzhou university of TechnologySchool of Mechanical & Electronical Engineering, Lanzhou university of TechnologySchool of Mechanical & Electronical Engineering, Lanzhou university of TechnologyChina Aluminum Limited by Share Ltd Liancheng branch companyFor 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.https://doi.org/10.1051/matecconf/201823202024
collection DOAJ
language English
format Article
sources DOAJ
author Li Jianhua
Shen Zhi
Yan Chaoning
Dong Nan
Liang Haimin
spellingShingle Li Jianhua
Shen Zhi
Yan Chaoning
Dong Nan
Liang Haimin
A method of image processing with QR code ablated on rough and highly reflective metal surface by laser
MATEC Web of Conferences
author_facet Li Jianhua
Shen Zhi
Yan Chaoning
Dong Nan
Liang Haimin
author_sort Li Jianhua
title A method of image processing with QR code ablated on rough and highly reflective metal surface by laser
title_short A method of image processing with QR code ablated on rough and highly reflective metal surface by laser
title_full A method of image processing with QR code ablated on rough and highly reflective metal surface by laser
title_fullStr A method of image processing with QR code ablated on rough and highly reflective metal surface by laser
title_full_unstemmed A method of image processing with QR code ablated on rough and highly reflective metal surface by laser
title_sort method of image processing with qr code ablated on rough and highly reflective metal surface by laser
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description 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.
url https://doi.org/10.1051/matecconf/201823202024
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AT yanchaoning amethodofimageprocessingwithqrcodeablatedonroughandhighlyreflectivemetalsurfacebylaser
AT dongnan amethodofimageprocessingwithqrcodeablatedonroughandhighlyreflectivemetalsurfacebylaser
AT lianghaimin amethodofimageprocessingwithqrcodeablatedonroughandhighlyreflectivemetalsurfacebylaser
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AT shenzhi methodofimageprocessingwithqrcodeablatedonroughandhighlyreflectivemetalsurfacebylaser
AT yanchaoning methodofimageprocessingwithqrcodeablatedonroughandhighlyreflectivemetalsurfacebylaser
AT dongnan methodofimageprocessingwithqrcodeablatedonroughandhighlyreflectivemetalsurfacebylaser
AT lianghaimin methodofimageprocessingwithqrcodeablatedonroughandhighlyreflectivemetalsurfacebylaser
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