Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Research of Rectal Pressure Signal Preprocessing Based on Improved FastICA Algorithm Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Detection Method of Laser Level Line Based on Machine Vision

Authors : Xiaozhen Wang, Haikuan Wang, Aolei Yang, Minrui Fei, Chunfeng Shen

Published in: Advanced Computational Methods in Life System Modeling and Simulation

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Laser lines emitted by the laser level are mostly detected manually and laser particle and optical effects also bring difficulties on measurement. In this paper, we design a detection system for the five-line laser level and propose a laser line measurement method based on ma- chine vision. Image processing is divided into two stages: in the first stage, we use random sample consensus (RANSAC) algorithm combined with Hough transform to fit the laser axis, which can get its position information. In the second stage, a laser edge extraction method based on conditional random fields (CRFs) is proposed, and the sub-pixel width of laser line is obtained by spline interpolation algorithm. The results confirm that the laser level detection method proposed in this paper can realize the corresponding detection precision and requirement.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Multi-channel Feature for Pedestrian Detection
next chapter An Accurate Calibration Method of a Multi Camera System
Literature
1.
Xie, D.: Line-width measurement method of narrow line width laser. Laser Optoelectron. Progress 50(1), 61–66 (2013)
2.
Yue, Y.L., Qin, B., Hong-Wei, L.V., et al.: Comparison of several ultra-narrow laser linewidth measurement. Opt. Commun. Technol. 37(3), 19–21 (2013)CrossRef
3.
An, P., Zhao, R., Zheng, Y., et al.: Linewidth rapid measurement of narrow fiber laser by spectrum analyzer. Infrared Laser Eng. 44(3), 897–900 (2015)
4.
Sutili, T., Figueiredo, R.C., Conforti, E.: Laser linewidth and phase noise evaluation using heterodyne offline signal processing. J. Lightwave Technol. 34(21), 4933–4940 (2016)CrossRef
5.
Vázquez-Otero, A., Khikhlukha, D., Solano-Altamirano, J.M., et al.: Laser spot detection based on reaction diffusion. Sensors 16(3), 315–326 (2016)CrossRef
6.
Zhang, H.Z., Yao, M., Lei, P., et al.: Research of image processing method of far-field laser spots. Laser Technol. 4(37), 460–463 (2013)
7.
Xiang, X.Y., Chen, H.Q., Peng, W.U., et al.: Adaptive measuring algorithm of laser beam width based on CCD. Laser Technol. 30(5), 552–554 (2006)
8.
Wang, Y., Wang, Q., Ma, C., et al.: Factors affecting the accurate measurement of laser beam width with CCD camera. Chin. J. Lasers 41(2), 303–308 (2014)
9.
Guo, J., Wei, Z., Miao, D.: Lane detection method based on improved RANSAC algorithm. In: 12th IEEE International Symposium on Autonomous Decentralized Systems (ISADS), pp. 285–288. IEEE Press, Taichung (2015)
10.
Pollard, E., Gruyer, D., Tarel, J.P., et al.: Lane marking extraction with combination strategy and comparative evaluation on synthetic and camera images. In: 14th International IEEE Conference on Intelligent Transportation Systems Council (ITSC), pp. 1741–1746. IEEE Press, Washington (2011)
11.
Jacobs, L., Weiss, J., Dolan, D.: Object tracking in noisy radar data: comparison of Hough transform and RANSAC. In: 2013 IEEE International Conference on Electro/Information Technology (EIT), pp. 1–6. IEEE Press, Rapid City (2013)
12.
Kröger, M., Sauer-Greff, W., Urbansky, R., et al.: Performance evaluation on contour extraction using Hough transform and RANSAC for multi-sensor data fusion applications in industrial food inspection. In: 2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), pp. 234–237. IEEE Press, Poznan (2016)
13.
Lafferty, J., McCallum, A., Pereira, F.: Conditional random fields: probabilistic models for segmenting and labeling sequence data. In: Proceedings of the 18th International Conference on Machine Learning (ICML), vol. 1, pp. 282–289. ACM, Williamstown (2001)
14.
Tran, L.C., Pal, C.J., Nguyen, T.Q.: View synthesis based on conditional random fields and graph cuts. In: 17th IEEE International Conference on Image Processing (ICIP), pp. 433–436. IEEE Press, Hong Kong (2010)
15.
Hur, J., Kang, S.N., Seo, S.W.: Multi-lane detection in urban driving environments using conditional random fields. In: 2013 IEEE Intelligent Vehicles Symposium (IV), pp. 1297–1302. IEEE Press, Gold Coast City (2013)
16.
Qian, S., Chen, Z.H., Lin, M.Q., et al.: Saliency detection based on conditional random field and image segmentation. Acta Automatica Sinica 41(4), 711–724 (2015)MATH
Metadata
Title
Detection Method of Laser Level Line Based on Machine Vision
Authors
Xiaozhen Wang
Haikuan Wang
Aolei Yang
Minrui Fei
Chunfeng Shen
Copyright Year
2017
Publisher
Springer Singapore
Book
Advanced Computational Methods in Life System Modeling and Simulation

Print ISBN: 978-981-10-6369-5

Electronic ISBN: 978-981-10-6370-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-6370-1_48

Premium Partner

    Image Credits