Skip to main content

Watershed Extraction of the Exact Shape of Microcalcifications in Mammograms

  • Conference paper
Computer Recognition Systems

Part of the book series: Advances in Soft Computing ((AINSC,volume 30))

  • 1559 Accesses

Abstract

The presented method of extraction of the exact shape of the microcalcifications (MCs) is based on the watershed segmentation (WS) and region merging. Assuming that the locations of the MCs are known, we use two kinds of markers for the WS: the internal marker indicating the interior of the MC, and the external marker separating the MCs. Carrying out the WS in the area between these two markers we obtain a limited number of regions. These regions are merged into a mask of an MC by maximization of the average contrast between the mask and its surroundings. The obtained shapes of the masks agree with human intuition and can be used for the classification of MCs as to their malignancy.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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.

Similar content being viewed by others

References

  1. Cheng H D, Cai X, Chen X, Hu L, Lou X (2003) Pattern Recognition 36:2967–2991

    Article  MATH  Google Scholar 

  2. Nieniewski M (1999) Machine, Graphics and Vision 8:427–448

    Google Scholar 

  3. Ustymowicz M, Nieniewski M (2004) Morphological Method of Microcalcifications Detection in Mammograms. In: Proceedings of the International Conference on Computer Vision and Graphics 2004, Kluwer

    Google Scholar 

  4. Soille P (1998) Morphological Image Analysis. Springer, Berlin

    Google Scholar 

  5. Beucher S (1990) Segmentation d’Images et Morphologie Mathématique. PhD Thesis, École Nationale Supérieure de Mines de Paris, Paris

    Google Scholar 

  6. Nieniewski M (2005) Segmentation of Digital Images. AOW EXIT, Warsaw (in Polish)

    Google Scholar 

  7. DDSM, http://figment.csee.usf.edu/Mammography/DDSM

    Google Scholar 

  8. Nieniewski M (2004) IEEE Trans Systems, Man, a. Cybernetics, B, 34:796–801

    Article  Google Scholar 

  9. Ustymowicz M (2005) Automatic Detection and Classification of the Microcalcification Clusters in Mammographic Images. PhD Thesis, Institute of Fundamental Technological Research, Warsaw (in Polish)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Nieniewski, M. (2005). Watershed Extraction of the Exact Shape of Microcalcifications in Mammograms. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_75

Download citation

  • DOI: https://doi.org/10.1007/3-540-32390-2_75

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25054-8

  • Online ISBN: 978-3-540-32390-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics