DocumentCode
536048
Title
Distortion Correction of Data Matrix Symbol Directly Marked on Cylinder Surface
Author
Lei, Lei ; He, Weiping ; Zhang, Wei
Author_Institution
Sch. of Mech. Eng., Northwestern Polytech. Univ., Xi´´an, China
Volume
2
fYear
2010
fDate
23-24 Oct. 2010
Firstpage
225
Lastpage
229
Abstract
The existing distortion correction methods are not fully suitable the multi-distortion image of Data Matrix symbol directly marked on cylinder surface, so an ellipse-arc grid method is proposed to correct this kind of distortion image. Firstly, two ellipse-arc boundaries and two line boundaries are detected based on the symbol contour point set, Secondly, two groups of ellipse-arc and line are interpolated respectively along the symbol distortion and un-distortion directions and form a data grid, the grid intersection points correspond to the binary values of every data module, they are stored in the standard pattern for decoding. The tests show that the proposed method can make the accuracy rate of the symbol data modules improve to 98.7% when its "L" length doesn\´t exceed 68.75% of cylinder diameter, and the symbol is decoded successfully after the distortion correction. The method promotes full application of directly marked Data Matrix symbol in the product lifecycle real-time tracking.
Keywords
computational geometry; distortion; image enhancement; interpolation; symbol manipulation; cylinder surface; data grid; data matrix symbol; distortion correction method; ellipse-arc boundaries; ellipse-arc grid method; grid intersection point; multidistortion image; symbol contour point set; Decoding; Delta modulation; Interpolation; Nonlinear distortion; Pixel; Real time systems; Transforms; Data Matrix symbol; cylinder surface; directly marked; distortion correction; ellipse-arc grid;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-8432-4
Type
conf
DOI
10.1109/AICI.2010.169
Filename
5656354
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