MATEC Web Conf.
Volume 232, 20182018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|Number of page(s)||7|
|Section||3D Images Reconstruction and Virtual System|
|Published online||19 November 2018|
A method of image processing with QR code ablated on rough and highly reflective metal surface by laser
School of Mechanical & Electronical Engineering, Lanzhou university of Technology, Lanzhou, Gansu 730050, China
2 China Aluminum Limited by Share Ltd Liancheng branch company, Lanzhou, 730332, China
a Corresponding author: email@example.com
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
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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