Suggested Algorithms for Blood Cell Images | SpringerLink
Skip to main content

Suggested Algorithms for Blood Cell Images

  • Conference paper
Simulated Evolution and Learning (SEAL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4247))

Included in the following conference series:

Abstract

Morphological mathematics is a powerful tool for image segmentation. The watershed is popularly used for multiple object images. In this paper, a new watershed algorithm without considering accurate boundary information is presented, for grey scale image segmentation, and Morphological mathematics is also used for cluster splitting. The result of running this algorithm shows that blood cell image can be well segmented using the proposed algorithm. A genetic algorithm is suggested for the further study.

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

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /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
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 11439
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 14299
Price includes VAT (Japan)
  • Compact, lightweight 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.

Similar content being viewed by others

References

  1. Di Ruberto, C., et al.: Analysis of infected blood cell images using morphological operators. Image and Vision Computing 20, 133–146 (2002)

    Article  Google Scholar 

  2. Fu, K.S., Mu, J.K.: A survey on image segmentation. Pattern Recognition 13, 3–16 (1981)

    Article  MathSciNet  Google Scholar 

  3. Pal, N.R., Pal, S.K.: A review of image segmentation techniques. Pattern Recognition 26(9), 1277–1294 (1993)

    Article  Google Scholar 

  4. Vicent, L., Solille, P.: Watershed in digital spaces: An efficient algorithm based immersion simulations [J]. IEEE Trans. PAMI 13(6), 538–598 (1991)

    Google Scholar 

  5. Adams, R., Bischof, L.: Seeded Region Growing. IEEE Trans. PAMI 16(6), 641–647 (1994)

    Google Scholar 

  6. Gauch, J.M.: Image Segmentation and Analysis via Multiscale Gradient Watershed Hierrchies. IEEE Trans. IP 8(1), 69–79 (1999)

    Google Scholar 

  7. Haris, K., Efstratiadis, S.N.: Hybrid Image Segmentation Using Watersheds and Fast Region Merging. IEEE Trans. IP 7(12), 1684–1699 (1998)

    Google Scholar 

  8. Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Publishing House of Electronics Industry (July 2002)

    Google Scholar 

  9. Chien, S.-Y., Huang, Y.-W., Ma, S.-y.: Predictive watershed for image sequences segmentation, vol. 9(02), pp. 3196–319. IEEE, Los Alamitos (2000)

    Google Scholar 

  10. Soares, F.: Watershed lines suppression by waterfall marker improvement and linneighbourhood analysis. In: ICPR 2004, IEEE, Los Alamitos (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, W., Zhao, Q., Luo, W. (2006). Suggested Algorithms for Blood Cell Images. In: Wang, TD., et al. Simulated Evolution and Learning. SEAL 2006. Lecture Notes in Computer Science, vol 4247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11903697_59

Download citation

  • DOI: https://doi.org/10.1007/11903697_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47331-2

  • Online ISBN: 978-3-540-47332-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics