Skip to main content
SpringerLink
Log in

The Cell Structures Segmentation

  • Conference paper
Book cover Computer Recognition Systems

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

Abstract

In this article we have presented an attempt to segmentation of cell structures images acquired while histological slides microscopic observation. The described algorithm of segmentation is also applicable in other matters, where the image segmentation is an important part.

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

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. Bajcsy R. (1973), Computer Description of Textured Surfaces, Proc, Int. Conf. Artificial Intell., Stanford, Calif, pp. 572–579.

    Google Scholar 

  2. Davis L.S. (1992), Hierarchical Generalized Hough Transforms and Line-Segment Based Generalized Hough Transforms, Pattern Recog., vol. 15, no. 4, pp. 277–285.

    Article  Google Scholar 

  3. Forczek M. (2000), Colour Space Models in Colour Images Segmentation Algorithms, ZNPS, no. 38, pp. 171–195, Silesian Technical University Publisher, Gliwice (in Polish).

    Google Scholar 

  4. Fu, K.S., Mui J.K. (1981), A Survey of Image Segmentation, Pattern Recog., vol. 13, no. 1, pp. 3–16.

    Article  MathSciNet  Google Scholar 

  5. Gonzalez R.C. (1992), Computer Vision, Yearbook of Science and Technology, McGraw-Hill, New York, pp. 128–132.

    Google Scholar 

  6. Pavlidis T. (1972) Segmentation of Pictures and Maps Through Functional Approximation, Comp. Graph. Image Proc., vol. 1, pp. 360–372.

    Article  MathSciNet  Google Scholar 

  7. Wrobel Z., Koprowski R. (2004) The Practice of Image Processing in Matlab Application, Academic Publisher Exit, Warsaw (in Polish)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Computer Science, University of Silesia, 41-200, Sosnowiec, Bedzinska 39, Poland

    Robert Koprowski & Zygmunt Wrobel

Authors
  1. Robert Koprowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zygmunt Wrobel
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Faculty of Electronics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Marek Kurzyński , Edward Puchała , Michał Woźniak  & Andrzej żołnierek , ,  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Koprowski, R., Wrobel, Z. (2005). The Cell Structures Segmentation. 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_67

Download citation

  • DOI: https://doi.org/10.1007/3-540-32390-2_67

  • 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

Search

Navigation