Skip to main content
SpringerLink
Log in

Blockboard Defect Detection Based on Wavelet Transform and Mathematical Morphology

  • Conference paper
Advances in Computer Science, Intelligent System and Environment

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 106))

Abstract

In order to implement automatic detection of blockboard, X-ray nondestructive detecting system is used to obtain blockboard X-ray images. An image processing method based on multi-scale wavelets decomposition and mathematical morphology is proposed in this paper. The method uses wavelet transform to suppress the interference information. Then edge detection method based on mathematical morphology of multi-structure elements is constructed by weighting method of morphological operation. The results show that the method performs well in noise-suppression and edge detection. This method is very effective to detect the defects of blockboard.

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. Information on, http://www.bmlink.com/bst/779/

  2. Kaspersen, J.H., Langø, T., Lindseth, F.: Ultrasound in Med. & Biol.  27, 89–99 (2001)

    Google Scholar 

  3. Mallat, S.G.: A wavelet tour of signal processing. Academic Press, San Diego (1998)

    MATH  Google Scholar 

  4. Serra, J.: Image Analysis and Mathematical Morphology. Academic Press, London (1982)

    MATH  Google Scholar 

  5. Cui, Y.: Image Processing and Analysis. Science Press, Beijing (2000) (in Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Science, Northeast Forestry University, Harbin, 150040, China

    Nianxue Yang & Dawei Qi

Authors
  1. Nianxue Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dawei Qi
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Wuhan Section Special No.1, International Science & Education Researcher Association, Jiangxia Road of Wuhan, Wuhan, China

    David Jin

  2. Guangzhou Section, International Science & Education Researcher Association, No.144, Jinheng Road Jinbi Garden 85-1102 southern Road of Industry Avenue Haizhu District, Guangzhou, Guang Dong provience, China

    Sally Lin

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yang, N., Qi, D. (2011). Blockboard Defect Detection Based on Wavelet Transform and Mathematical Morphology. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23753-9_73

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23753-9_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23752-2

  • Online ISBN: 978-3-642-23753-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation