Welcome to the InfoSci Platform
Reference Hub2
Detecting Central Region in Weld Beads of DWDI Radiographic Images Using PSO

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

Fernando M. Suyama, Andriy G. Krefer, Alex R. Faria, Tania M. Centeno
Copyright: © 2015 |Volume: 5 |Issue: 1 |Pages: 15
ISSN: 1947-928X|EISSN: 1947-9298|EISBN13: 9781466678231|DOI: 10.4018/ijncr.2015010103
Cite Article Cite Article

MLA

Suyama, Fernando M., et al. "Detecting Central Region in Weld Beads of DWDI Radiographic Images Using PSO." IJNCR vol.5, no.1 2015: pp.42-56. http://doi.org/10.4018/ijncr.2015010103

APA

Suyama, F. M., Krefer, A. G., Faria, A. R., & Centeno, T. M. (2015). Detecting Central Region in Weld Beads of DWDI Radiographic Images Using PSO. International Journal of Natural Computing Research (IJNCR), 5(1), 42-56. http://doi.org/10.4018/ijncr.2015010103

Chicago

Suyama, Fernando M., et al. "Detecting Central Region in Weld Beads of DWDI Radiographic Images Using PSO," International Journal of Natural Computing Research (IJNCR) 5, no.1: 42-56. http://doi.org/10.4018/ijncr.2015010103

Export Reference

Mendeley
Favorite Full-Issue Download

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.