Skip to main content

Segmentation and identification of rotavirus-A in digital microscopic images using active contour model

  • Conference paper
Thinkquest~2010

Abstract

A virus is an infectious agent too small to be seen directly with a light microscope. They are not made of cells and can only replicate inside the cells of another organism (the viruses’ host). Viruses infect all types of organisms, from animals and plants to bacteria and archaea. Viruses are found in almost every ecosystem on Earth and these minute structures are the most abundant type of biological entity. Viruses consist of two or three parts: all viruses have genes made from either DNA or RNA, long molecules that carry genetic information; all have a protein coat that protects these genes; and some have an envelope of fat that surrounds them when they are outside a cell. Viruses vary from simple helical and icosahedra shapes, to more complex structures. Most viruses are about one hundred times smaller than an average bacterium. Viruses spread in many ways; plant viruses are often transmitted from plant to plant by insects that feed on sap, such as aphids, while animal viruses can be carried by blood-sucking insects. Infl uenza viruses are spread by coughing and sneezing.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
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. Rafel C. Gonzalez and Richard E. Woods, “Digital image processing”, Pearson Education Asia (2002)

    Google Scholar 

  2. M. A. Hayat, “Principles and techniques of electron microscopy: biological applications”. Cambridge University Press. pp. 45-61. ISBN 0521632870 (2000)

    Google Scholar 

  3. Bozzola, John J.; Russell, Lonnie D. “Specimen preparation for transmission electron microscopy” Jones and Bartlett. pp. 21–31. ISBN 9780763701925(1999)

    Google Scholar 

  4. Velázquez FR, Matson DO, Calva JJ, Guerrero L, Morrow AL, Carter-Campbell S, Glass RI, Estes MK, Pickering LK, Ruiz-Palacios GM, “Rotavirus infections in infants as protection against subsequent infections”. N. Engl. J. Med. 335 (14):1022–8. doi:10.1056/NEJM199610033351404. PMID 8793926

    Google Scholar 

  5. Arnoldi F, Campagna M, Eichwald C, Desselberger U, Burrone OR. “Interaction of rotavirus polymerase VP1 with nonstructural protein NSP5 is stronger than that with NSP2”. J. Virol. 81(5): 2128–37. (2007) doi:10.1128/JVI.01494-06. PMID 17182692.http://jvi.asm.org/cgi/content/full/81/5/2128

    Google Scholar 

  6. S. Venkataraman, D.P. Allison, H. Qi, J.L. Morrell- Falvey, N.L. Kallewaard, J.E. Crowe Jr. and M.J. Doktycz. “Automated image analysis of atomic force microscopy images of rotavirus particles.” Ultramicroscopy, Elsevier, Vol. 106, 2006, pp. 829-837

    Article  Google Scholar 

  7. P.S. Hiremath and Parashuram Bannigidad, “Automatic classification of bacterial cells in digital microscopic images”, Intl. Jl. of Engg. and Tech. (IJENGG), Vol. 2, No. 4, Dec. 2009, pp. 9-15

    Google Scholar 

  8. Dennis Kunkel Microscopy, Inc, Science Stock Photography, http://www.denniskunkel.com

  9. P.S.Hiremath, Parashuram Bannigidad, Manjunath Hiremath, “Automated Identification and classification of rotavirus-A particles in digital microscopic images”, Nat. Conf. on Recent Trends in Image Processing and Pattern Recognition RTIPPR- 2010), February 15-16, 2010, Bidar (Accepted)

    Google Scholar 

  10. Tony F Chan, Luminita A. Vese, “Active contours without edges”, IEEE Transaction on Image Processing, Vol. 10, No. 2, February 2001.

    Google Scholar 

  11. Chenyang Xu, Jerry L Prince, “Snakes, Shapes, and Gradient Vector Flow”, IEEE Transactions on Image Processing, Vol. 7, No. 3, March 1998

    Google Scholar 

  12. Michael Kass, Andrew witkin and demetri, “Snakes: Active contour models”, Intl. J. of Computer Vision, 1998, pp. 321-331

    Google Scholar 

  13. S. Osher and J.A. Sethian, “Fronts propagating with curvature dependent speed: Algorithm based on Hamilton Jacobi Formulation” J. Compact Phy, Vol. 79, 1988, pp.12-49

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer India Pvt. Ltd

About this paper

Cite this paper

Hiremath, P.S., Bannigidad, P., Hiremath, M. (2011). Segmentation and identification of rotavirus-A in digital microscopic images using active contour model. In: Pise, S.J. (eds) Thinkquest~2010. Springer, New Delhi. https://doi.org/10.1007/978-81-8489-989-4_32

Download citation

  • DOI: https://doi.org/10.1007/978-81-8489-989-4_32

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-8489-988-7

  • Online ISBN: 978-81-8489-989-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics