Combined Precise Extraction and Topology of Points, Lines and Curves in Man-Made Environments

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10496)

Abstract

This article presents a novel method for a combined extraction of points, lines and arcs in images. Geometric primitives are fitted into extracted edge pixels. In order to get points, the intersections between the geometric primitives are calculated. The method allows a precise and at the same time robust detection of the image features. By constructing a graph describing the topology between the features, more complex structures can be described over multiple connected primitives.

References

  1. 1.
    Akinlar, C., Topal, C.: EDCircles: real-time circle detection by Edge Drawing (ED). In: 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1309–1312, March 2012Google Scholar
  2. 2.
    Akinlar, C., Topal, C.: EDLines: a real-time line segment detector with a false detection control. Pattern Recognit. Lett. 32(13), 1633–1642 (2011)CrossRefGoogle Scholar
  3. 3.
    Ballard, D.H.: Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognit. 13(2), 111–122 (1981)CrossRefMATHGoogle Scholar
  4. 4.
    Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: Speeded-Up Robust Features (SURF). Comput. Vis. Image Underst. 110(3), 346–359 (2008)CrossRefGoogle Scholar
  5. 5.
    Bonci, A., Leo, T., Longhi, S.: A Bayesian approach to the Hough transform for line detection. IEEE Trans. Syst. Man Cybern. - Part A: Syst. Hum. 35(6), 945–955 (2005)CrossRefGoogle Scholar
  6. 6.
    Chia, A.Y.S., Rahardja, S., Rajan, D., Leung, M.K.: A split and merge based ellipse detector with self-correcting capability. IEEE Trans. Image Process. 20(7), 1991–2006 (2011)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Fitzgibbon, A., Pilu, M., Fisher, R.B.: Direct least square fitting of ellipses. IEEE Trans. Pattern Anal. Mach. Intell. 21(5), 476–480 (1999)CrossRefGoogle Scholar
  8. 8.
    Harris, C., Stephens, M.: A combined corner and edge detector. In: Alvey Vision Conference. vol. 15, pp. 10–5244. Citeseer (1988)Google Scholar
  9. 9.
    Horaud, R., Veillon, F., Skordas, T.: Finding geometric and relational structures in an image. In: Faugeras, O. (ed.) ECCV 1990. LNCS, vol. 427, pp. 374–384. Springer, Heidelberg (1990). doi:10.1007/BFb0014886 Google Scholar
  10. 10.
    Lowe, D.G.: Object recognition from local scale-invariant features. In: The Proceedings of the Seventh IEEE International Conference on Computer Vision, vol. 2, pp. 1150–1157. IEEE (1999)Google Scholar
  11. 11.
    Lu, W., Tan, J.: Detection of incomplete ellipse in images with strong noise by iterative randomized Hough transform (IRHT). Pattern Recognit. 41(4), 1268–1279 (2008)CrossRefMATHGoogle Scholar
  12. 12.
    Mai, F., Hung, Y.S., Zhong, H., Sze, W.F.: A hierarchical approach for fast and robust ellipse extraction. In: 2007 IEEE International Conference on Image Processing, vol. 5, pp. V-345–V-348, September 2007Google Scholar
  13. 13.
    Morevec, H.P.: Towards automatic visual obstacle avoidance. In: Proceedings of the 5th International Joint Conference on Artificial Intelligence, vol. 2, pp. 584–584. IJCAI 1977, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA (1977)Google Scholar
  14. 14.
    Patraucean, V., Gurdjos, P., Grompone von Gioi, R.: Joint a contrario ellipse and line detection. IEEE Trans. Pattern Anal. Mach. Intell. 39(4), 788–802 (2017)CrossRefGoogle Scholar
  15. 15.
    Schmid, C., Mohr, R., Bauckhage, C.: Evaluation of interest point detectors. Int. J. Comput. Vis. 37(2), 151–172 (2000)CrossRefMATHGoogle Scholar
  16. 16.
    Shi, J., Tomasi, C.: Good features to track. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 593–600, June 1994Google Scholar
  17. 17.
    Topal, C., Akinlar, C.: Edge drawing: a combined real-time edge and segment detector. J. Vis. Commun. Image Represent. 23(6), 862–872 (2012)CrossRefGoogle Scholar
  18. 18.
    Wenzel, S., Förstner, W.: Finding poly-curves of straight line and ellipse segments. Photogrammetrie-Fernerkundung-Geoinformation 2013(4), 297–308 (2013)CrossRefGoogle Scholar
  19. 19.
    Wolters, D., Koch, R.: Precise and robust line detection for highly distorted and noisy images. In: Rosenhahn, B., Andres, B. (eds.) GCPR 2016. LNCS, vol. 9796, pp. 3–13. Springer, Cham (2016). doi:10.1007/978-3-319-45886-1_1 CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Department of Computer ScienceKiel UniversityKielGermany

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