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Review of vision-based steel surface inspection systems

Neogi, Nirbhar ; Mohanta, Dusmanta K ; Dutta, Pranab K

EURASIP journal on image and video processing, 2014-11, Vol.2014 (1), p.1-19, Article 50 [Periódico revisado por pares]

Cham: Springer International Publishing

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  • Título:
    Review of vision-based steel surface inspection systems
  • Autor: Neogi, Nirbhar ; Mohanta, Dusmanta K ; Dutta, Pranab K
  • Assuntos: Automation ; Biometrics ; Classification ; Customers ; Engineering ; Image Processing and Computer Vision ; Inspection ; Manuals ; Pattern Recognition ; Review ; Signal,Image and Speech Processing ; Steels ; Surface defects ; Video
  • É parte de: EURASIP journal on image and video processing, 2014-11, Vol.2014 (1), p.1-19, Article 50
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
  • Descrição: Steel is the material of choice for a large number and very diverse industrial applications. Surface qualities along with other properties are the most important quality parameters, particularly for flat-rolled steel products. Traditional manual surface inspection procedures are awfully inadequate to ensure guaranteed quality-free surface. To ensure stringent requirements of customers, automated vision-based steel surface inspection techniques have been found to be very effective and popular during the last two decades. Considering its importance, this paper attempts to make the first formal review of state-of-art of vision-based defect detection and classification of steel surfaces as they are produced from steel mills. It is observed that majority of research work has been undertaken for cold steel strip surfaces which is most sensitive to customers' requirements. Work on surface defect detection of hot strips and bars/rods has also shown signs of increase during the last 10 years. The review covers overall aspects of automatic steel surface defect detection and classification systems using vision-based techniques. Attentions have also been drawn to reported success rates along with issues related to real-time operational aspects.
  • Editor: Cham: Springer International Publishing
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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