Texture-based Real-time Vision System for Detection of Automobile Cylinder Sleeves

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This paper describes a real-time vision system that recognizes the location and position of automobile cylinder sleeves on a moving conveyor belt based on surface texture pattern. The proposed vision system will maximize production efficiency and improve the strenuous and labor-intensive conditions of assembly lines. The normalized correlation function uses multi-resolution pyramid images to quickly find candidates. To discriminate these candidates, the output scores of the normalized correlation function are classified and the higher order autocorrelation functions are employed. The results from field tests prove that the performance is fully capable in providing a basis for a practical vision system. In the future, by integrating other surface texture patterns, the proposed system can expand the combined real-time vision system for the factory automation field.

収録刊行物

  • 画像電子学会誌 = Imaging & Visual Computing The Journal of the Institute of Image Electronics Engineers of Japan  

    画像電子学会誌 = Imaging & Visual Computing The Journal of the Institute of Image Electronics Engineers of Japan 35(4), 326-333, 2006-07-25 

    The Institute of Image Electronics Engineers of Japan

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各種コード

  • NII論文ID(NAID)
    10018229440
  • NII書誌ID(NCID)
    AN00041650
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    02859831
  • NDL 記事登録ID
    8064689
  • NDL 雑誌分類
    ZN33(科学技術--電気工学・電気機械工業--電子工学・電気通信)
  • NDL 請求記号
    Z16-810
  • データ提供元
    CJP書誌  NDL  J-STAGE 
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