Laser Marking Hatch Contour Generation
Authors: 
Dalin Huang, Yufan Li, Yiming HeAuthors Info & Claims
Dalin Huang, Yufan Li, Yiming HeAuthors Info & ClaimsPages 143 - 148
Abstract
Laser marking has been widely used in industrial processing. For different hatching methods, the operating efficiency and the clarity of the marking pattern are also different. Herein, we realize the zigzag parallel and contour parallel hatch of the single-layer and multi-layer contour pattern respectively based on different parameters, evaluate the algorithm, and give optimization strategies.
References
[1]
N. Raghunath, Pulak M. Pandey.: Improving accuracy through shrinkage modelling by using Taguchi method in selective laser sintering. 47(6):985--995 (2006)
[2]
Shin HongShik.: Analysis of Titanium Surface Characteristics according to Laser Beam Marking Conditions. J. Journal of Institute of Convergence Technology, 3 (2013)
[3]
Yang, M., et al.: Laser data based automatic recognition and maintenance of road markings from MLS system. Optics & Laser Technology 107:192--203 (2018)
[4]
Kumar, P., et al.: Automated road markings extraction from mobile laser scanning data. International Journal of Applied Earth Observation and Geoinformation 32.1:125--137 (2014)
[5]
GuRa, D A., et al.: A non-standard mark's center recognition correctness by a 3D laser scanner. IOP Conference Series: Materials Science and Engineering 1083.1:012056 (6pp) (2021)
[6]
JOHN, and SPROVIERI.: Safely Laser Mark Using a Robot. Assembly 59.3 Suppl. 36--37 (2016)
[7]
Chen, W., P. Ackerson, and P. Molian.: CO2 laser welding of galvanized steel sheets using vent holes. Materials & Design 30.2:245--251 (2009)
[8]
F Hillenkamp, et al.: Matrix-assisted laser desorption/ionization mass spectrometry of biopolymers. Analytical Chemistry 63.24:1288 (1991)
[9]
Stampfer, et al.: Comparison of remote sensing based RFID and standard tree marking for timber harvesting. Computers and Electronics in Agriculture (2017)
[10]
Gotham, H., et al.: Information technology - International symbology specification - Data matrix. Journal of Clinical Psychopharmacology 23.23:207--9 (2003)
[11]
Reed, I. S., and G. Solomon.: Polynomial Codes Over Certain Finite Fields. Journal of the Society for Industrial & Applied Mathematics 8.2:300--304 (1960)
[12]
Mese, M., and P. P. Vaidyanathan.: Recent advances in digital halftoning and inverse halftoning methods. IEEE Transactions on Circuits & Systems I Fundamental Theory & Applications 49.6:790--805 (2002)
[13]
Sang, H. K., and J. P. Allebach.: Impact of HVS models on model-based halftoning. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society 11.3:258--69 (2002)
[14]
Damera-Venkata, N., et al.: Image quality assessment based on a degradation model. IEEE Transactions on Image Processing 9.4:636--50 (2000)
[15]
Zhang, X., and B. A. Wandell. A spatial extension of CIELAB for digital color-image reproduction. Journal of the Society for Information Display 5.1 (1997)
[16]
Donald, E., and Knuth.: Digital halftones by dot diffusion. ACM Transactions on Graphics 6.4:245--273 (1987)
[17]
Oysu, C., and Z. Bingul.: Application of heuristic and hybrid-GASA algorithms to tool-path optimization problem for minimizing airtime during machining. Engineering Applications of Artificial Intelligence 22.3:389--396 (2009)
[18]
Xie, S. Q., J. Gan, and G. G. Wang.: Optimal process planning for compound laser cutting and punch using Genetic Algorithms. International Journal of Mechatronics & Manufacturing Systems 2.1/2:20--38(19) (2009)
[19]
Ismail Al-Rawi. Implementation of an Efficient Scan-Line Polygon Fill Algorithm. (2014)
[20]
Chongyang Deng, Qingjun Chang, Kai Hormann Iterative coordinates.: Computer Aided Geometric Design, 79 (2020)
[21]
Wei Qing Wang.: The Filling Algorithm for Scanning Based on the Chain Structure. 2011, 1286:404--409.
[22]
Yu Yasufuku Integral points and relative sizes of coordinates of orbits in PN. J Mathematische Zeitschrift, 279:3--4 (2015)
[23]
Jia Xing Xu, Gang Li, Ji Yao Wang, et al.: New Method for Polygonous Node Automatic Creation Based on Triangulation. 2301:2442--2445 (2013)
Index Terms
- Laser Marking Hatch Contour Generation
Recommendations
Computational image marking on metals via laser induced heating
Laser irradiation induces colors on some industrially important materials, such as stainless steel and titanium. It is however challenging to find marking configurations that create colorful, high-resolution images. The brute-force solution to the gamut ...
Laser Marking Hatch Contour Generation Algorithm
ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information SystemsIn order to calculate the laser filling path of the irregular simply connected figure, we establish the parallel filling path model and contour filling path model. According to the classification of the concave and convex points, the total path of the ...
Automatic Contour Generation of 4D CT by Deformable Registration
PACIIA '08: Proceedings of the 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application - Volume 02The purpose of this work is to develop a method of automatic contour generation by deformable registration on four-dimensional CT data. Firstly, a region of interest was manually delineated by a physician on a reference phase. Then deformable ...
Comments
Information & Contributors
Information
Published In
June 2021
807 pages
ISBN:9781450390231
DOI:10.1145/3473714
Copyright © 2021 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
In-Cooperation
- Chongqing Univ.: Chongqing University
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 13 August 2021
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
ICCIR 2021
ICCIR 2021: 2021 International Conference on Control and Intelligent Robotics
June 18 - 20, 2021
Guangzhou, China
Acceptance Rates
ICCIR '21 Paper Acceptance Rate 131 of 239 submissions, 55%;
Overall Acceptance Rate 131 of 239 submissions, 55%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 41Total Downloads
- Downloads (Last 12 months)6
- Downloads (Last 6 weeks)1
Reflects downloads up to 26 Sep 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in