バレル研磨面の知的認識法 Intelligent Visual Evaluation System for Barrel-Finished Surfaces

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This paper describes an intelligent visual system for evaluating barrel-finished surfaces using a fuzzy-neural network. If the features of image processing are recognized by the vision system and fuzzy-neural network, the degree of surface roughness, brilliance, and/or types of barrel-finishing conditions will be clarified in relation to surface image data and the surface integrity of barrel-finished surfaces is cleared by correlation analyses between features of surface image processing data<br>The objectives of the paper are to analyze the image of barrel-finished surfaces using both texture and color texture analyses, and to construct a fuzzy-neural network system able to evaluate surface roughness, brilliance and types of finishing.<br>It was found that the features of image data of barrel-finished surfaces is decided by texture analyses. Results show it is possible to construct a fuzzy-neural network system composed of surface image features as input data and the degree of surface roughness, brilliance, and/or types of finishing as output data.

収録刊行物

  • 表面技術 = The Journal of the Surface Finishing Society of Japan  

    表面技術 = The Journal of the Surface Finishing Society of Japan 48(1), 25-30, 1997-01-01 

    The Surface Finishing Society of Japan

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各種コード

  • NII論文ID(NAID)
    10002258083
  • NII書誌ID(NCID)
    AN1005202X
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    09151869
  • NDL 記事登録ID
    4118792
  • NDL 雑誌分類
    ZP41(科学技術--金属工学・鉱山工学)
  • NDL 請求記号
    Z17-291
  • データ提供元
    CJP書誌  NDL  J-STAGE 
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