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Counting Gaps in Binary Pictures

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Combinatorial Image Analysis (IWCIA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4040))

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Abstract

An important concept in combinatorial image analysis is that of gap. In this paper we derive a simple formula for the number of gaps in a 2D binary picture. Our approach is based on introducing the notions of free vertex and free edge and studying their properties from point of view of combinatorial topology. The number of gaps characterizes the topological structure of a binary picture and is of potential interest in property-based image analysis.

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References

  1. Andres, E., Acharya, R., Sibata, C.: Discrete analytical hyperplanes. Graphical Models and Image Processing 59, 302–309 (1997)

    Article  Google Scholar 

  2. Andres, E., Nehlig, P., Françon, J.: Tunnel-free supercover 3D polygons and polyhedra. In: Fellner, D., Szirmay-Kalos, L. (Guest eds.) EUROGRAPHICS 1997, pp. C3–C13 (1997)

    Google Scholar 

  3. Arenas, F.G.: Alexandroff spaces. Acta Mathematica, University of Comenianae LXVIII-1, 17–25 (1999)

    Google Scholar 

  4. Barneva, R.P., Brimkov, V.E., Nehlig, P.: Thin discrete triangular meshes. Theoretical Computer Science 246(1-2), 73–105 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  5. Brimkov, V.E., Andres, E., Barneva, R.P.: Object discretizations in higher dimensions. Pattern Recognition Letters 23, 623–636 (2002)

    Article  MATH  Google Scholar 

  6. Brimkov, V.E., Barneva, R.P., Nehlig, P.: Minimally thin discrete triangulations. In: Kaufman, A., Yagel, R., Chen, M. (eds.) Volume Graphics, ch. 3, pp. 51–70. Springer, Heidelberg (2000)

    Google Scholar 

  7. Brimkov, V.E., Maimone, A., Nordo, G., Barneva, R., Klette, R.: The number of gaps in binary pictures. In: Bebis, G., Boyle, R., Koracin, D., Parvin, B. (eds.) ISVC 2005. LNCS, vol. 3804, pp. 35–42. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  8. Cohen-Or, D., Kaufman, A.: 3D line voxelization and connectivity control. IEEE Computer Graphics and Applications 17(6), 80–87 (1997)

    Article  Google Scholar 

  9. Kaufman, A., Cohen, D., Yagel, R.: Volume graphics. IEEE Computer 26(7), 51–64 (1993)

    Google Scholar 

  10. Klette, R., Rosenfeld, A.: Digital Geometry - Geometric Methods for Digital Picture Analysis. Morgan Kaufmann, San Francisco (2004)

    MATH  Google Scholar 

  11. Kong, T.Y.: Digital topology. In: Davis, L.S. (ed.) Foundations of Image Understanding, pp. 33–71. Kluwer, Boston (2001)

    Google Scholar 

  12. Kovalevsky, V.A.: Finite topology as applied to image analysis. Computer Vision, Graphics and Image Processing 46(2), 141–161

    Google Scholar 

  13. Latecki, L., Eckhardt, U., Rosenfeld, A.: Well-composed sets. Computer Vision and Vision Understanding 61, 70–83 (1995)

    Article  Google Scholar 

  14. Mylopoulos, J.P., Pavlidis, T.: On the topological properties of quantized spaces. I. The notion of dimension. J. ACM 18, 239–246 (1971)

    Article  MathSciNet  Google Scholar 

  15. Pavlidis, T.: Algorithms for Graphics and Image Processing. Computer Science Press, Rockville (1982)

    Google Scholar 

  16. Rosenfeld, A.: Arcs and curves in digital pictures. Journal of the ACM 18, 81–87 (1973)

    Article  MathSciNet  Google Scholar 

  17. Rosenfeld, A.: Adjacency in digital pictures. Information and Control 26, 24–33 (1974)

    Article  MATH  MathSciNet  Google Scholar 

  18. Voss, K.: Discrete Images, Objects, and Functions in Z n. Springer, Berlin (1993)

    MATH  Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Brimkov, V.E., Maimone, A., Nordo, G. (2006). Counting Gaps in Binary Pictures. In: Reulke, R., Eckardt, U., Flach, B., Knauer, U., Polthier, K. (eds) Combinatorial Image Analysis. IWCIA 2006. Lecture Notes in Computer Science, vol 4040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774938_2

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  • DOI: https://doi.org/10.1007/11774938_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35153-5

  • Online ISBN: 978-3-540-35154-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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