IDEAS home Printed from https://ideas.repec.org/a/igg/jncr00/v5y2015i1p42-56.html
   My bibliography  Save this article

Detecting Central Region in Weld Beads of DWDI Radiographic Images Using PSO

Author

Listed:
  • Fernando M. Suyama

    (Federal University of Technology, Paraná, Brazil)

  • Andriy G. Krefer

    (Federal University of Technology, Paraná, Brazil)

  • Alex R. Faria

    (Federal University of Technology, Paraná, Brazil)

  • Tania M. Centeno

    (Federal University of Technology, Paraná, Brazil)

Abstract

This paper presents a methodology to detect the central region of weld beads on petroleum pipelines in double wall double image (DWDI) radiographic images. The method is based on three steps: pre-processing (to isolate selected regions), optimization (to define the ellipse that best fits in selected region), and decision (to choose the best region). Results show that the Particle Swarm Optimization (PSO) algorithm converges satisfactorily to the selection of the region that is most similar to the central region of the weld on the optimization and decision steps (to balance the weights of the classifier). The scientific contribution of this research is the improvement of the method applied in the search of candidate regions through ellipses' attributes analysis.

Suggested Citation

  • Fernando M. Suyama & Andriy G. Krefer & Alex R. Faria & Tania M. Centeno, 2015. "Detecting Central Region in Weld Beads of DWDI Radiographic Images Using PSO," International Journal of Natural Computing Research (IJNCR), IGI Global, vol. 5(1), pages 42-56, January.
    • Handle: RePEc:igg:jncr00:v:5:y:2015:i:1:p:42-56
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijncr.2015010103
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jncr00:v:5:y:2015:i:1:p:42-56. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.