Skip to main content
SpringerLink
Log in

Multivalued Morphology and its Application in Moving Object Segmentation and Tracking

  • Chapter
Mathematical Morphology and its Applications to Image and Signal Processing

Part of the book series: Computational Imaging and Vision ((CIVI,volume 5))

Abstract

This paper introduces some basic definitions, notions and properties of multivalued morphology. Its application in moving object segmentation and tracking is demonstrated.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

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

    MATH  Google Scholar 

  2. J. Serra. Image analysis and Mathematical Morphology, Academic Press, Inc., Ecole supeŕieure de Mines de Paris, Fontainebleau, 1982.

    MATH  Google Scholar 

  3. J. Serra (Ed). Image analysis and Mathematical Morphology, Volume II. Academic Press, Inc., London, 1988.

    Google Scholar 

  4. R.M. Haralick, S.R. Sternberg, and X. Zhuang. Image analysis using mathematical morphology. IEEE Trans. PAMI, , No. 9, pp. 532–550, 1987.

    Article  Google Scholar 

  5. P. Maragos and R.W. Schafer. Morphological systems for multidimensional signal procecssing. Proceedings of the IEEE, Vol. 78, No. 4, pp. 690–710, April 1990.

    Article  Google Scholar 

  6. E.R. Dougherty (Ed). Mathematical morphology in image processing. M. Dekker, New York, 1993.

    Google Scholar 

  7. J. Serra and P. Soille (Ed.). Mathematical Morphology and Its Applications to Image Processing. Kluwer Academic Publishers, The Netherlands, 1994.

    MATH  Google Scholar 

  8. P. Salembier (Ed.). Special issue on mathematical morphology and its applications to signal processing. Signal Processing, Vol. 38, No. 1, July 1994.

    Google Scholar 

  9. H. Heijmans. Morphological Image Operators. Academic Press, Boston, 1994.

    MATH  Google Scholar 

  10. F. Meyer. Contrast feature extraction. In Proceedings. 2nd European Symposium on Quantitative Analysis of Mircostructures in Material Sciences, Biology and Medicine, pages 374–380, Caen, France, October 1977.

    Google Scholar 

  11. S.R. Sternberg. Grayscale morphology. CVGIP, Vol. 35, pp. 333–355, 1986.

    Google Scholar 

  12. S. Beucher. Segmentation d’images et morphologie mathématique. In Doctorate thesis, Centre de Morphologie Mathématique, Ecole Des Mines, Fontainebleau, France, June 1990.

    Google Scholar 

  13. F. Meyer and S. Beucher. Morphological segmentation. Journal of Visual Communication and Image Processing, Vol. 1, No. 1, pp. 21–46, Sept. 1990.

    Article  Google Scholar 

  14. P. Salembier and M. Kunt. Size-sensitive multiresolution decomposition of images with rank order based filters. Signal Processing, Vol. 27, No. 2, pp. 205–241, May 1992.

    Article  Google Scholar 

  15. L. Vincent. Morphological grayscale reconstrcution in image analysis: applications and efficient algorithms. IEEE, Transactions on Image Processing, Vol. 2, No. 2, pp. 176–201, April 1993.

    Article  Google Scholar 

  16. L. Vincent. Grayscale area openings and closings, their efficient implementation and applications. In Mathematical Morphology and its Applications to Signal Processing, pages 22–27, Barcelona, Spain, May 1993.

    Google Scholar 

  17. P.E. Trahanias and A.N. Venetsanopoulos. Multispectral image processing. G. Vernazza, A.N. Venetsanopoulos and C. Braccini (Ed.) Image Processing: Theory and Applications, pages 41–44, 1993.

    Google Scholar 

  18. I. Pitas and A.N. Venetsanopoulos. Nonlinear Digital Filters: Principles and Applications. Kluwer Academic, Norwell Ma., 1990.

    MATH  Google Scholar 

  19. K. Tang. Nonlinear multivariate image filtering techniques. IEEE Trans. on Image Processing, Vol. 4, No. 6, pp. 788–798, June 1995.

    Article  Google Scholar 

  20. C. Gu, T. Ebrahimi, and M. Kunt. Morphological moving object segmentation and tracking for content-based video coding. In International Symposium on Multimedia Communications and Video Coding, New York, Oct. 11–13 1995. Plenum Press.

    Google Scholar 

  21. J. Serra. Anamorphoses and function lattices (multivalued morphology). E.R. Dougherty (Ed.) Mathematical Morphology in Image Processing, pages 483–523, 1993.

    Google Scholar 

  22. C. Gu. Multivalued Morphology and Segmentation-based Coding. Ph.D. Thesis, EPFL, Lausanne, Switzerland, 1995.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Microsoft Corporation, One Microsoft Way, Redmond, WA, 98052, USA

    Chuang Gu

Authors
  1. Chuang Gu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology, USA

    Petros Maragos , Ronald W. Schafer  & Muhammad Akmal Butt ,  & 

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Kluwer Academic Publishers

About this chapter

Cite this chapter

Gu, C. (1996). Multivalued Morphology and its Application in Moving Object Segmentation and Tracking. In: Maragos, P., Schafer, R.W., Butt, M.A. (eds) Mathematical Morphology and its Applications to Image and Signal Processing. Computational Imaging and Vision, vol 5. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0469-2_40

Download citation

  • DOI: https://doi.org/10.1007/978-1-4613-0469-2_40

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-8063-4

  • Online ISBN: 978-1-4613-0469-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation