Detection of Surface Defects of Type ‘orange skin’ in Furniture Elements with Conventional Image Processing Methods
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  • 关键词:Defect detection ; Quality inspection ; Furniture elements ; Orange skin ; Directional derivative ; Gradient modulus ; Image intensity
  • 刊名:Lecture Notes in Computer Science
  • 出版年:2016
  • 出版时间:2016
  • 年:2016
  • 卷:9555
  • 期:1
  • 页码:26-37
  • 全文大小:1,444 KB
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  • 作者单位:Leszek J. Chmielewski (15)
    Arkadiusz Orłowski (15)
    Katarzyna Śmietańska (16)
    Jarosław Górski (16)
    Krzysztof Krajewski (16)
    Maciej Janowicz (15)
    Jacek Wilkowski (16)
    Krystyna Kietlińska (15)

    15. Faculty of Applied Informatics and Mathematics (WZIM), Warsaw University of Life Sciences (SGGW), ul. Nowoursynowska 159, 02-775, Warsaw, Poland
    16. Faculty of Wood Technology (WTD), Warsaw University of Life Sciences (SGGW), ul. Nowoursynowska 159, 02-775, Warsaw, Poland
  • 丛书名:Image and Video Technology ᾿PSIVT 2015 Workshops
  • ISBN:978-3-319-30285-0
  • 刊物类别:Computer Science
  • 刊物主题:Artificial Intelligence and Robotics
    Computer Communication Networks
    Software Engineering
    Data Encryption
    Database Management
    Computation by Abstract Devices
    Algorithm Analysis and Problem Complexity
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1611-3349
文摘
An attempt was made to differentiate between surfaces of furniture elements having the orange skin defect and those free from it. As the detectors, the directional derivative of the image intensity along the dominating light direction and the modulus of the image intensity gradient were used. The detectors were tested on series of images with the small and large light incident angles. In case of both detectors, there existed sufficiently wide ranges of thresholds for which both sensitivity and specificity were \(100\,\%\) for all the 19 images tested. The ranges of thresholds were wider for the light closer to tangential, and for the detector using the gradient modulus, than for the other cases. The optimum scale of the detectors was found different for each light conditions.
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