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Filament Enhancement by Non-linear Volumetric Filtering Using Clustering-Based Connectivity

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Advances in Machine Vision, Image Processing, and Pattern Analysis (IWICPAS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4153))

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Abstract

Shape filters are a family of connected morphological operators that have been used for filament enhancement in biomedical imaging. They interact with connected image regions rather than individual pixels, which can either be removed or retained unmodified. This prevents edge distortion and noise amplification, a property particularly appreciated in filtering and segmentation. In this paper we investigate their performance using a generalized notion of connectivity that is referred to as ”clustering-based connectivity”. We show that we can capture thin fragmented structures which are filtered out with existing techniques.

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References

  1. Braga-Neto, U.M., Goutsias, J.: Connectivity on complete lattices: New results. Comp. Vis. Image Understand. 85, 22–53 (2002)

    Article  MATH  Google Scholar 

  2. Maragos, P., Ziff, R.D.: Threshold superposition in morphological image analysis systems. IEEE Trans. Pattern Anal. Mach. Intell. 12(5), 498–504 (1990)

    Article  Google Scholar 

  3. Orkisz, M., Hernández-Hoyos, M., Douek, P., Magnin, I.: Advances of blood vessel morphology analysis in 3D magnetic resonance images. Mach. Vis. Graph. 9, 463–471 (2000)

    Google Scholar 

  4. Ouzounis, G.K., Wilkinson, M.H.F.: Mask-based second-generation connectivity and attribute filters. In: IEEE Trans. Pattern Anal. Mach. Intell. (submitted, 2005)

    Google Scholar 

  5. Ouzounis, G.K., Wilkinson, M.H.F.: Second-order connected attribute filters using max-trees. In: Ronse, C., Najman, L., Decenciére, E. (eds.) Mathematical Morphology: 40 Years On; Proc. 7th Int. Symp. Math. Morphology, pp. 65–74. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

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

    Article  MathSciNet  Google Scholar 

  7. Salembier, P., Oliveras, A., Garrido, L.: Anti-extensive connected operators for image and sequence processing. IEEE Trans. Image Proc. 7, 555–570 (1998)

    Article  Google Scholar 

  8. Serra, J. (ed.): Image Analysis and Mathematical Morphology. II: Theoretical Advances. Academic Press, London (1988)

    Google Scholar 

  9. Serra, J.: Connectivity on complete lattices. Journal of Mathematical Imaging and Vision 9, 231–251 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  10. Urbach, E.R., Wilkinson, M.H.F.: Shape-only granulometries and grey-scale shape filters. In: Talbot, H., Beare, R. (eds.) Mathematical Morphology; Proc. 6th Int. Symp. Math. Morphology, Collingwood, Australia, pp. 305–314. CSIRO Publishing (2002)

    Google Scholar 

  11. Wilkinson, M.H.F., Westenberg, M.A.: Shape preserving filament enhancement filtering. In: Niessen, W.J., Viergever, M.A. (eds.) MICCAI 2001. LNCS, vol. 2208, pp. 770–777. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Ouzounis, G.K., Wilkinson, M.H.F. (2006). Filament Enhancement by Non-linear Volumetric Filtering Using Clustering-Based Connectivity. In: Zheng, N., Jiang, X., Lan, X. (eds) Advances in Machine Vision, Image Processing, and Pattern Analysis. IWICPAS 2006. Lecture Notes in Computer Science, vol 4153. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11821045_34

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  • DOI: https://doi.org/10.1007/11821045_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37597-5

  • Online ISBN: 978-3-540-37598-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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