Local detection of defects from image sequences

• Autorzy: Ewaryst Rafajłowicz , Marek Wnuk , Wojciech Rafajłowicz
• Języki publikacji: EN

Abstrakty

EN

Our aim is to discuss three approaches to the detection of defects in continuous production processes, which are based on local methods of processing image sequences. These approaches are motivated by and applicable to images of hot metals or other surfaces, which are uniform at a macroscopic level, when defects are not present. The first of them is based on the estimation of fractal dimensions of image cross-sections. The second and third approaches are compositions of known techniques, which are selected and tuned to our goal. We discuss their advantages and disadvantages, since they provide different information on defects. The results of their testing on 12 industrial images are also summarized.

Słowa kluczowe

EN

image processing; fractal dimension; morphological operations

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2008
• Tom: 18
• Numer: 4
• Strony: 581-592

Daty

wydano

2008

otrzymano

2007-12-09

poprawiono

2008-04-19

Twórcy

autor

Ewaryst Rafajłowicz

• Institute of Computer Engineering, Control and Robotics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

autor

Marek Wnuk

• Institute of Computer Engineering, Control and Robotics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

autor

Wojciech Rafajłowicz

• Institute of Computer Engineering, Control and Robotics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

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Identyfikatory

DOI

10.2478/v10006-008-0051-6