Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloAnalysis of image sequences for defect detection in composite materials
Anno di pubblicazione2007
Formato-
Autore/iT. D'Orazio, M. Leo, C. Guaragnella, A. Distante
Affiliazioni autoriIssia-CNR, DEE Politecnico di Bari
Autori CNR e affiliazioni
  • ARCANGELO DISTANTE
  • TIZIANA RITA D'ORAZIO
  • MARCO LEO
Lingua/e-
AbstractThe problem of inspecting composite materials to detect internal defects is felt in many industrial contexts both for quality controls through production lines and for maintenance operations during in-service inspections. The analysis of the internal defects (not detectable by a visual inspection) is a di±cult task unless invasive techniques are applied. For this reason in the last years there has been an increasing interest for the development of low cost non-destructive inspection techniques that can be applied during normal routine tests without damaging materials but also with automatic analysis tools. In this paper we have addressed the problem of developing an automatic signal processing system that analyzes the time/space variations in a sequence of thermographic images and allows the identification of internal defects in composite materials that otherwise could not be detected. First of all a preprocessing technique was applied to the time /space signals to extract significant information, then an unsupervised classifier was used to extract uniform classes that characterize a range of internal defects. The experimental results demonstrate the ability of the method to recognize different regions containing several types defects.
Lingua abstract-
Altro abstract-
Lingua altro abstract-
Pagine da855
Pagine a864
Pagine totali-
RivistaLecture notes in computer science
Attiva dal 1973
Editore: Springer - Berlin
Paese di pubblicazione: Germania
Lingua: multilingue
ISSN: 0302-9743
Titolo chiave: Lecture notes in computer science
Titolo proprio: Lecture notes in computer science.
Titolo abbreviato: Lect. notes comput. sci.
Titoli alternativi:
  • Lecture notes in computer science. Lecture notes in artificial intelligence
  • Lecture notes in artificial intelligence
  • LNCS. Lecture notes in computer science (Print)
  • Lecture notes in computer science (Print)
  • Lecture notes in computer science. LNAI. Lecture notes in artificial intelligence
  • Lecture notes in computer science. Lecture notes in bioinformatics (Print)
  • Lecture notes in computer science. Journal subline
Numero volume della rivista4678
Fascicolo della rivista-
DOI-
Verificato da referee-
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:000250340600078)
Parole chiavenon destructive inspection, Singular Value Decomposition, Self Organizing Map Neural network
Link (URL, URI)-
Titolo parallelo-
Licenza-
Scadenza embargo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • ISSIA — Istituto di studi sui sistemi intelligenti per l'automazione
Moduli/Attività/Sottoprogetti CNR
  • SP.P06.004.001 : Sistemi Intelligenti per la sicurezza
Progetti Europei-
Allegati
Articolo Pubblicato (documento privato )
Tipo documento: application/pdf

Dati storici
I dati storici non sono modificabili, sono stati ereditati da altri sistemi (es. Gestione Istituti, PUMA, ...) e hanno solo valore storico.
Area disciplinareComputer Science & Engineering
Area valutazione CIVRIngegneria industriale e informatica
Rivista ISILECTURE NOTES IN COMPUTER SCIENCE [00538S0]