Skip to main content
SpringerLink
Log in
Book cover

International Work-Conference on the Interplay Between Natural and Artificial Computation

IWINAC 2013: Natural and Artificial Computation in Engineering and Medical Applications pp 421–430Cite as

Segmentation of Weld Regions in Radiographic Images: A Knowledge-Based Efficient Solution

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7931))

Abstract

The objective of the work consists in the design and implementation of technique of automatic recognition of weld region. It is aimed to complete a system of automatic inspection of radiographic images of welded joints. It deals with the problem of the delimitation of the weld regions according to the general scheme of image interpretation systems based on knowledge.

This is a preview of subscription content, 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   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Liao, T.W., Ni, J.: An automated radiographic NDT system for weld inspection. Part I. Weld extraction. NDT & E Intern. 29(3), 157–162 (1996)

    Article  Google Scholar 

  2. Liao, T.W., Tang, K.: Automated extraction of welds from digitized radiographic images based on mlp neural networks. Applications of Artificial Intelligence 11, 197–218 (1997)

    Article  Google Scholar 

  3. Liao, T.W., Li, D.M., Li, Y.M.: Extraction of welds from radiographic images using fuzzy classifiers. Inform. Sci. 126, 21–42 (2000)

    Article  MATH  Google Scholar 

  4. Liao, T.W.: Fuzzy reasoning based automatic inspection of radiographic welds: Weld recognition. Journal of Intel. Manuf. 15(1), 69–85 (2004)

    Article  Google Scholar 

  5. Felisberto, M.K., Lopes, H.S., Centeno, T.M., Arruda, L.V.: An objet detection and recognition system for weld bead extraction from digital radiographs. Computer Vision and Image Understanding 102(3), 238–249 (2006)

    Article  Google Scholar 

  6. Carreira, M.: Diagnóstico Asistido por Ordenador: Detección Automática de Nódulos Pulmonares. PhD thesis, Universidad de Santiago de Compostela, Depto. de Electrónica y Computación (1996)

    Google Scholar 

  7. Mosquera, A., Cabello, D., Carreira, M., Penedo, M.: Unsupervised textured image segmentation using markov random field and clustering algorithms. In: Klette, R. (ed.) Computer Analysis of Images and Patterns, vol. 5, pp. 139–147. Akademie Verlag (1991)

    Google Scholar 

  8. Wilson, R., Spann, M.: Image Segmentation and Uncertainty. Letchworth, Wiley, Herts, New York (1988)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Depto. Electrónica, Tecnología de Computadoras y Proyectos ETSIT-Escuela Técnica Superior de Ingeniería de Telecomunicación, Universidad Politécnica de Cartagena, Antiguo Cuartel de Antigones. Plaza del Hospital 1, 30202, Cartagena, Spain

    Rafael Vilar & Juan Zapata

Authors
  1. Rafael Vilar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Juan Zapata
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Pl. Hospital, 1, 30201, Cartagena, Spain

    José Manuel Ferrández Vicente  & Fco. Javier Toledo Moreo  & 

  2. Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, E.T.S. de Ingenería Informática, Juan del Rosal, 16, 28040, Madrid, Spain

    José Ramón Álvarez Sánchez  & Félix de la Paz López  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Vilar, R., Zapata, J. (2013). Segmentation of Weld Regions in Radiographic Images: A Knowledge-Based Efficient Solution. In: Ferrández Vicente, J.M., Álvarez Sánchez, J.R., de la Paz López, F., Toledo Moreo, F.J. (eds) Natural and Artificial Computation in Engineering and Medical Applications. IWINAC 2013. Lecture Notes in Computer Science, vol 7931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38622-0_44

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38622-0_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38621-3

  • Online ISBN: 978-3-642-38622-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation