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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5720))

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Abstract

This paper investigates some geodesic implementations that have appeared in the literature and that lead to connected operators. The focus is on two so-called self-dual geodesic transformations. Some fundamental aspects of these transformations are analyzed, such as whether they are actually levelings, and whether they can treat each grain or pore independently from the rest (connected-component locality). As will be shown, one of the geodesic self-dual reconstructions studied appears to be not a leveling. Nevertheless, it possesses a distinctive characteristic: it can process grains and pores in a connected-component local manner. The analysis is performed in the set or binary framework, although results and conclusions extend to (flat) gray-level operators.

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References

  1. Matheron, G.: Random Sets and Integral Geometry. Wiley, New York (1975)

    MATH  Google Scholar 

  2. Serra, J.: Mathematical Morphology, vol. I. Academic Press, London (1982)

    MATH  Google Scholar 

  3. Serra, J. (ed.): Mathematical Morphology. Theoretical Advances, vol. II. Academic Press, London (1988)

    MATH  Google Scholar 

  4. Heijmans, H.: Morphological Image Operators. In: Hawkes, P. (ed.) Advances in Electronics and Electron Physics. Academic Press, Boston (1994)

    Google Scholar 

  5. Banon, G.: Formal introduction to digital image processing. INPE, São José dos Campos (2000)

    Google Scholar 

  6. Soille, P.: Morphological Image Analysis, 2nd edn. Springer, Heidelberg (2003)

    MATH  Google Scholar 

  7. Dougherty, E., Lotufo, R.: Hands-on Morphological Image Processing. SPIE Press, Bellingham (2003)

    Book  Google Scholar 

  8. Serra, J., Salembier, P.: Connected operators and pyramids. In: Proceedings of SPIE, Non-Linear Algebra and Morphological Image Processing, San Diego, July 1993, vol. 2030, pp. 65–76 (1993)

    Google Scholar 

  9. Salembier, P., Serra, J.: Flat zones filtering, connected operators, and filters by reconstruction. IEEE Transactions on Image Processing 4(8), 1153–1160 (1995)

    Article  Google Scholar 

  10. Ronse, C.: Set-theoretical algebraic approaches to connectivity in continuous or digital spaces. Journal of Mathematical Imaging and Vision 8(1), 41–58 (1998)

    Article  MathSciNet  Google Scholar 

  11. Heijmans, H.: Connected morphological operators for binary images. Computer Vision and Image Understanding 73, 99–120 (1999)

    Article  MATH  Google Scholar 

  12. Monasse, P., Guichard, F.: Fast computation of a contrast-invariant image representation. IEEE Trans. on Image Proc. 9(5), 860–872 (2000)

    Article  Google Scholar 

  13. Crespo, J., Serra, J., Schafer, R.W.: Image segmentation using connected filters. In: Serra, J., Salembier, P. (eds.) Workshop on Mathematical Morphology, Barcelona, May 1993, pp. 52–57 (1993)

    Google Scholar 

  14. Crespo, J.: Morphological Connected Filters and Intra-Region Smoothing for Image Segmentation. PhD thesis, School of Electrical and Computer Engineering, Georgia Institute of Technology (December 1993)

    Google Scholar 

  15. Crespo, J., Schafer, R.W.: Locality and adjacency stability constraints for morphological connected operators. Journal of Mathematical Imaging and Vision 7(1), 85–102 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  16. Meyer, F.: From connected operators to levelings. In: Heijmans, H.J.A.M., Roerdink, J.B.T.M. (eds.) Mathematical morphology and its applications to image and signal processing, pp. 191–198. Kluwer Academic Publishers, Dordrecht (1998)

    Google Scholar 

  17. Meyer, F., Maragos, P.: Nonlinear scale-space representation with morphological levelings. Journal of Visual Communication and Image Representation 11(3), 245–265 (2000)

    Article  Google Scholar 

  18. Meyer, F.: Levelings, image simplification filters for segmentation. Journal of Mathematical Imaging and Vision 20(1-2), 59–72 (2004)

    Article  MathSciNet  Google Scholar 

  19. Crespo, J.: Adjacency stable connected operators and set levelings. In: Banon, G.J.F., Barrera, J., Braga-Neto, U.d.M., Hirata, N.S.T. (eds.) Proceedings of the 8th International Symposium on Mathematical Morphology 2007 - ISMM 2007, October 2007. São José dos Campos, Universidade de São Paulo (USP), Instituto Nacional de Pesquisas Espaciais (INPE), vol. 1, pp. 215–226 (2007)

    Google Scholar 

  20. Crespo, J., Maojo, V.: The strong property of morphological connected alternated filters. Journal of Mathematical Imaging and Vision 32(3), 251–263 (2008)

    Article  MathSciNet  Google Scholar 

  21. Matheron, G.: Les nivellements. Technical Report N-54/99/MM, Report Centre de Morphologie Mathmatique, E.N.S. des Mines de Paris (February 1997)

    Google Scholar 

  22. Serra, J.: Connections for sets and functions. Fundamenta Informaticae 41(1-2), 147–186 (2000)

    MathSciNet  MATH  Google Scholar 

  23. Maragos, P.: Algebraic and PDE approaches for lattice scale-spaces with global constraints. International Journal of Computer Vision 52(2/3), 121–137 (2003)

    Article  Google Scholar 

  24. Serra, J., Vachier-Mammar, C., Meyer, F.: Nivellements. In: Najman, L., Talbot, H. (eds.) Morphologie mathématique 1: approches déterministes, pp. 173–200. Lavoisier, Paris (2008)

    Google Scholar 

  25. Meyer, F.: The levelings. In: Heijmans, H.J.A.M., Roerdink, J.B.T.M. (eds.) Mathematical morphology and its applications to image and signal processing, pp. 199–206. Kluwer Academic Publishers, Dordrecht (1998)

    Google Scholar 

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Crespo, J. (2009). Levelings and Geodesic Reconstructions. In: Wilkinson, M.H.F., Roerdink, J.B.T.M. (eds) Mathematical Morphology and Its Application to Signal and Image Processing. ISMM 2009. Lecture Notes in Computer Science, vol 5720. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03613-2_8

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  • DOI: https://doi.org/10.1007/978-3-642-03613-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03612-5

  • Online ISBN: 978-3-642-03613-2

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