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Preventing Chaining through Transitions While Favouring It within Homogeneous Regions

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Mathematical Morphology and Its Applications to Image and Signal Processing (ISMM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6671))

Abstract

By its very nature, alpha-connectivity is subject to the chaining property of single linkage clustering. Thanks to the selection of appropriate connectivity constraints, connected components that are affected by the chaining through transitions can be invalidated. However, it may happen that (i) a stream of small connected components at the transition between larger components are created and (ii) none of the connected components is matching a desired object whatever the threshold levels associated with the constraints. These two problems are caused by the presence of transitions. In this paper, we characterise transitions in view of their impact on constrained connected paths. We then show that both problems can be addressed simultaneously by either pre-filtering or by introducing a dissimilarity measurement preventing connections through transitions while keeping a definition based on absolute difference measurements.

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References

  1. Nagao, M., Matsuyama, T., Ikeda, Y.: Region extraction and shape analysis in aerial photographs. Computer Graphics and Image Processing 10(3), 195–223 (1979)

    Article  Google Scholar 

  2. Baraldi, A., Parmiggiani, F.: Single linkage region growing algorithms based on the vector degree of match. IEEE Transactions on Geoscience and Remote Sensing 34(1), 137–148 (1996)

    Article  Google Scholar 

  3. Meyer, F., Maragos, P.: Morphological scale-space representation with levelings. In: Nielsen, M., Johansen, P., Fogh Olsen, O., Weickert, J. (eds.) Scale-Space 1999. LNCS, vol. 1682, pp. 187–198. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  4. Zanoguera, F., Meyer, F.: On the implementation of non-separable vector levelings. In: Talbot, H., Beare, R. (eds.) Proc. of VIth ISMM, Sydney, CSIRO, pp. 369–377 (2002)

    Google Scholar 

  5. Serra, J.: A lattice approach to image segmentation. Journal of Mathematical Imaging and Vision 24(1), 83–130 (2006)

    Article  MathSciNet  Google Scholar 

  6. Soille, P.: Constrained connectivity for hierarchical image partitioning and simplification. IEEE Transactions on Pattern Analysis and Machine Intelligence 30(7), 1132–1145 (2008)

    Article  Google Scholar 

  7. Gower, J., Ross, G.: Minimum spanning trees and single linkage cluster analysis. Applied Statistics 18(1), 54–64 (1969)

    Article  MathSciNet  Google Scholar 

  8. Wishart, D.: Mode analysis: a generalization of nearest neighour which reduced chain effect. In: Cole, A. (ed.) Numerical Taxonomy, pp. 282–311. Academic Press, New York (1968)

    Google Scholar 

  9. Soille, P.: On genuine connectivity relations based on logical predicates. In: Proc. of 14th ICIAP, Modena, Italy, pp. 487–492. IEEE, Los Alamitos (2007)

    Google Scholar 

  10. Diestel, R.: Graph Theory, 4th edn. Graduate Texts in Mathematics. Springer, Heidelberg (2010)

    Book  MATH  Google Scholar 

  11. Zucker, S.: Region growing: childhood and adolescence. Computer Graphics and Image Processing 5, 382–399 (1976)

    Article  Google Scholar 

  12. Johnson, S.: Hierarchical clustering schemes. Psychometrika 32(3), 241–254 (1967)

    Article  MATH  Google Scholar 

  13. Meyer, F.: An overview of morphological segmentation. International Journal of Pattern Recognition and Artificial Intelligence 15(7), 1089–1118 (2001)

    Article  Google Scholar 

  14. Jardine, N., Sibson, R.: Mathematical Taxonomy. Wiley, London (1971)

    MATH  Google Scholar 

  15. Najman, L., Soille, P.: On morphological hierarchical representations for image processing and spatial data clustering. In: Proc. of WADGMM ICPR Workshop, Istanbul, IAPR, pp. 52–61 (August 2010)

    Google Scholar 

  16. Soille, P.: On range based connectivity relations for image simplification and segmentation. Technical report, European Commission, Joint Research Centre (2006), http://www.jrc.ec.europa.eu

  17. Ouzounis, G., Soille, P.: Pattern spectra from partition pyramids and hierarchies. In: Soille, P., Pesaresi, M., Ouzounis, G.K. (eds.) ISMM 2011. LNCS, vol. 6671, pp. 108–119. Springer, Heidelberg (2011)

    Google Scholar 

  18. Soille, P., Grazzini, J.: Constrained connectivity and transition regions. In: Wilkinson, M.H.F., Roerdink, J.B.T.M. (eds.) ISMM 2009. LNCS, vol. 5720, pp. 59–69. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  19. Gerbrands, J.: Segmentation of noisy images. PhD thesis, TU Delft, The Netherlands (1988)

    Google Scholar 

  20. Kramer, H., Bruckner, J.: Iterations of non-linear transformations for enhancement on digital images. Pattern Recognition 7, 53–58 (1975)

    Article  MathSciNet  MATH  Google Scholar 

  21. Meyer, F., Serra, J.: Contrasts and activity lattice. Signal Processing 16(4), 303–317 (1989)

    Article  MathSciNet  Google Scholar 

  22. Schavemaker, J., Reinders, M., Gerbrands, J., Backer, E.: Image sharpening by morphological filtering. Pattern Recognition 33, 997–1012 (2000)

    Article  Google Scholar 

  23. Soille, P.: Constrained connectivity for the processing of very high resolution satellite images. International Journal of Remote Sensing 31(22), 5879–5893 (2010)

    Article  Google Scholar 

  24. Grazzini, J., Soille, P.: Iterative ramp sharpening for structure/signature-preserving simplification of images. In: Proc. of 20th Int. Conf. on Pattern Recognition, Istanbul, pp. 4585–4589. IEEE, Los Alamitos (2010)

    Google Scholar 

  25. Gueguen, L., Soille, P.: Frequent and dependent connectivities. In: Soille, P., Pesaresi, M., Ouzounis, G.K. (eds.) ISMM 2011. LNCS, vol. 6671, pp. 120–131. Springer, Heidelberg (2011)

    Google Scholar 

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Soille, P. (2011). Preventing Chaining through Transitions While Favouring It within Homogeneous Regions. In: Soille, P., Pesaresi, M., Ouzounis, G.K. (eds) Mathematical Morphology and Its Applications to Image and Signal Processing. ISMM 2011. Lecture Notes in Computer Science, vol 6671. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21569-8_9

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  • DOI: https://doi.org/10.1007/978-3-642-21569-8_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21568-1

  • Online ISBN: 978-3-642-21569-8

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