Application of data fusion in nondestructive testing (NDT)

Rene Heideklang, Parisa Shokouhi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Scopus citations

Abstract

Applying contemporary data fusion techniques, the multi-modal nondestructive testing (NDT) data sets can be combined to obtain more reliable results. The reliability can be quantified in terms of the probability of detection of sought material defects. A concise review of the published studies on NDT data fusion is provided here and the key concepts and anticipated challenges are discussed. The detailed steps involved in the NDT fusion process are explained with reference to a case study. The presented data set includes the results of three different NDT techniques on a test specimen with built-in defects. Several pixel-level fusion algorithms were applied and their performances are quantitatively compared.

Original languageEnglish (US)
Title of host publicationProceedings of the 16th International Conference on Information Fusion, FUSION 2013
Pages835-841
Number of pages7
StatePublished - 2013
Event16th International Conference of Information Fusion, FUSION 2013 - Istanbul, Turkey
Duration: Jul 9 2013Jul 12 2013

Publication series

NameProceedings of the 16th International Conference on Information Fusion, FUSION 2013

Other

Other16th International Conference of Information Fusion, FUSION 2013
Country/TerritoryTurkey
CityIstanbul
Period7/9/137/12/13

All Science Journal Classification (ASJC) codes

  • Information Systems

Fingerprint

Dive into the research topics of 'Application of data fusion in nondestructive testing (NDT)'. Together they form a unique fingerprint.

Cite this