Image Matching Using Distance Transform

  • Abdul Ghafoor
  • Rao Naveed Iqbal
  • Shoab Khan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

Image matching is an important task. There are many available methods for occluded image matching, e.g. Hausdorff distance, Distance Transformi and wavelet decomposition based methods. We proposed Modified Chamfer Matching Algorithm (MCMA) [16], a new simple distance transform based image matching algorithm. Here we propose few more matching measures and compare them. Basic concepts relating to distance transform are also explained. Examples to demonstrate the algorithm and necessary results are also included.

References

  1. 1.
    H.G. Barrow, J.M. Tanenbaum, R.C. Botles and H. C. Wolf, “Parametric correspondence and chamfer matching: Two new techniques for image matching,” in Proceedings of 5 th International Joint Conference on Artificial Intelligence, Cambridge, MA, pp. 659–653, 1977.Google Scholar
  2. 2.
    G. Borgefores, “An improved version of the chamfer matching algorithm,” in 7 th Int. Conf, Pattern Recognition, Montreal, P.Q.,Canada, pp. 1175–1177, 1984.Google Scholar
  3. 3.
    A. Rosenfeld, “Multi resolution image representation”, in Digital Image Analysis, S. Levialdi, Ed., London: Pitman, pp. 18–28, 1984.Google Scholar
  4. 4.
    Gunnila Borgefores, “Hierarchical chamfer matching: A parametric edge matching algorithm”, IEEE transaction on Pattern Analysis and Machine Intelligence. Vol. 10, no. 6, pp. 849–856, 1988.CrossRefGoogle Scholar
  5. 5.
    Daniel P. Huttenlocher, Gregory A. Klanderman, and William J. Ruklidge, “Comparing images using the Hausdorff distance”, IEEE Trans. Patt. Anal. Machine Intell., vol 15, no 9, pp 850–863,1993.CrossRefGoogle Scholar
  6. 6.
    D.P. Huttenlocher, K. Kedem, M. Sharir, “The upper envelope of Voronoi surfaces and its Applications, Discrete Comput. Geom. 9, pp 267–291, 1993.MATHCrossRefMathSciNetGoogle Scholar
  7. 7.
    L. Paul Chew, Kalara Kedem, “Getting around a lower bound for the minimum Hausdorff distance”, Computational Geometry 10, pp197–202, 1998.MATHCrossRefMathSciNetGoogle Scholar
  8. 8.
    J. You, E. Pissaloux, J-L. Hellec, and P. Bonnin, “A guided image matching approach using hausdorff distance with intresting points detection”, IEEE, pp 968–972, 1994Google Scholar
  9. 9.
    B.B. Chaudhuri and A. Rosenfeld, “A modified Hausdorff distance between fuzzy sets”, Information Sciences 118, pp 159–171, 1999.MATHCrossRefMathSciNetGoogle Scholar
  10. 10.
    David M. Mount, Nathan S. Netanyahu, Jacqueline Le Moigne, “Efficient algorithms for robust feature matching”, Pattern Recognition 32 pp 17–38, 1999.CrossRefGoogle Scholar
  11. 11.
    Oh-Kyu Kwon, Dong-Gyu Sim, Rae-Hong Park, “Robust Hausdorff distance matching algorithms using pyramidal structures”, Pattern Recognition 34, pp 2005–2013, 2001.MATHCrossRefGoogle Scholar
  12. 12.
    Yongsheng Gao, Maylor K.H. Leung, “Line segment Hausdorff distance on face matching”, Pattern Recognition 35, pp 361–371, 2002.MATHCrossRefGoogle Scholar
  13. 13.
    D. M. Tsai, C. H. Chiang, “Rotation invariant pattern matching using wavelet decomposition”, Pattern Recognition Letters 23, pp 191–201, 2002.MATHCrossRefGoogle Scholar
  14. 14.
    S. Hezel, A. Kugel, R. Manner, D.M. Gavrila, “FPGA-based Template Matching using Distance Transforms”, Proceedings 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines, 2002.Google Scholar
  15. 15.
    http://www-cgrl.cs.mcgill.ca/~godfried/teaching/cg-projects/98/normand/main.htmlGoogle Scholar
  16. 16.
    Abdul Ghafoor, Rao Naveed Iqbal, and Shoab A. Khan, “Modified Chamfer Matching Algorithm” in proceeding Springer, IDEAL, Honk Kong, March 2003.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Abdul Ghafoor
    • 1
  • Rao Naveed Iqbal
    • 2
  • Shoab Khan
    • 2
  1. 1.Department of Electrical Engineering, College of Electrical and Mechanical EngineeringNational University of Sciences and TechnologyRawalpindiPakistan
  2. 2.Department of Computer Engineering, College of Electrical and Mechanical EngineeringNational University of Sciences and TechnologyRawalpindiPakistan

Personalised recommendations