• DocumentCode
    2551426
  • Title

    Improvement of auto panel defect detection algorithm

  • Author

    Zhou, Chunqiao ; Jin, Xuanhong ; Dai, Shuguang

  • Author_Institution
    Coll. of Opt.-Electr. & Comput.-Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    1824
  • Lastpage
    1828
  • Abstract
    According to the problems that there are false and missed detections during the detection of non-uniform brightness of the image based on template matching algorithm, this article proposes a method that combines the two algorithms of template matching and calculating the pixel areas of the connected domains to find the image defect regions. This new algorithm´s first step is to split some regions of interesting (ROI) from the whole testing image, and we can calculate the average pixel areas of the ROI by using the image algorithms of feature extraction and regional analysis. Based on the the average pixel areas comparison with testing regions´ pixel areas, we can easily judge if the testing images have defect parts. Experimental results show that the method has a high testing precision and a quick regions positioning speed, besides, it also has a very good market value.
  • Keywords
    automobile manufacture; brightness; feature extraction; image matching; inspection; production engineering computing; ROI; auto panel defect detection algorithm; automobile manufacturing technology; average pixel area calculation; average pixel areas comparison; feature extraction; image defect region; nonuniform brightness detection; regional analysis; regions of interesting; template matching algorithm; Algorithm design and analysis; Correlation; Detection algorithms; Filtering algorithms; Morphology; Noise; Testing; connected domain; feature extraction; regional analysis; regions of interest; template matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-1-4673-0025-4
  • Type

    conf

  • DOI
    10.1109/FSKD.2012.6234263
  • Filename
    6234263