Conference Paper

Classification of welding defects in radiographic images using an adaptive-network-based fuzzy system

Book Series cp
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volumen: 6687 LNCS
  • Número: PART 2
  • Fecha: 26 May 2011
  • Páginas: 205-214
  • ISSN: 03029743 16113349
  • ISBN: 9783642213250
  • Source Type: Book Series
  • DOI: 10.1007/978-3-642-21326-7_23
  • Document Type: Conference Paper
In this paper, we describe an automatic system of radiographic inspection of welding. An important stage in the construction of this system is the classification of defects. In this stage, an adaptive-network-based fuzzy inference system (ANFIS) for weld defect classification was used. The results was compared with the aim to know the features that allow the best classification. The correlation coefficients were determined obtaining a minimum value of 0.84. The accuracy or the proportion of the total number of predictions that were correct was determined obtaining a value of 82.6%. © 2011 Springer-Verlag Berlin Heidelberg.

Author keywords

    Indexed keywords

      Funding details