Skip to main content

cDNA Microarray Image Filtering Using Shape-Adaptive DCT

  • Chapter
  • First Online:
Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 128))

  • 150 Accesses

Abstract

cDNA microarray technology is an effective, precise and powerful tool in gene research. Image processing is the key part of the technology, it can extract and quantitatively analysis the abundant DNA product. So image filtering has high priority in image processing. The paper provides a novel Shape-Adaptive Discrete Cosine Transform (SA-DCT) filtering method. The method has obvious superiority compared with other widely used filtering methods. The paper gives some simulation examples, and evaluates the filtering results by objective and subjective index. Through analyzing the evaluation index, find that SA-DCT method yields excellent filtering performance. It is a robust and precise method.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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. Baxevanis, A., Ouellette, B.F.: A Practical Guide to Analysis of Genes and Proteins, 2nd edn. Wiley, New York (2001)

    Google Scholar 

  2. Sikora, T.: Lowcomplexity shape-adaptive DCT for coding of arbitrarily shaped image segments. Signal Processing: Image Communication 7, 381–395 (1995)

    Article  Google Scholar 

  3. Katkovnik, V., Foi, A., Egiazarian, K., Astola, J.: Directional varying scale approximations for anisotropic signal processing. In: Proc. XII European Signal Process. Conf., EU- SIPCO 2004, Vienna, pp. 101–104 (2004)

    Google Scholar 

  4. Mallat, S.: A wavelet tour of signal processing, 2nd edn. Academic Press (1998)

    Google Scholar 

  5. Guleryuz, O.G.: Weighted overcomplete denoising. In: Proc. Asilomar, Conf. Signals Syst. Comput., Pacipc Grove, CA (November 2003)

    Google Scholar 

  6. Wang, Z., Bovik, A.: A universal image quality index. IEEE Trans. Signal Processing Lett. 9, 81–84 (2002)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Guirong Weng .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag GmbH Berlin Heidelberg

About this chapter

Cite this chapter

Weng, G., Hu, Y., Li, Z. (2012). cDNA Microarray Image Filtering Using Shape-Adaptive DCT. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25792-6_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25792-6_17

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25791-9

  • Online ISBN: 978-3-642-25792-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics