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    請使用永久網址來引用或連結此文件: http://chur.chu.edu.tw/handle/987654321/34673


    題名: Selecting an Appropriate Segmentation Method Automatically Using ANN Classifier
    作者: 邱奕契
    Chiou, Yih-Chih
    貢獻者: 機械工程學系
    Mechanical Engineering
    關鍵詞: Segmentation;Feature Extraction;Flaw Detection;Flaw Classification;BPN Network
    Segmentation;Feature Extraction;Flaw Detection;Flaw Classification;BPN Network
    日期: 2007
    上傳時間: 2014-06-27 02:59:45 (UTC+8)
    摘要: In general, we can easily determine the manufacturing step that does not function properly by referring to the flaw type. However, a successful segmentation of flaws is the prerequisite for the success of the subsequent flaw classification. It is worth no
    In general, we can easily determine the manufacturing step that does not function properly by referring to the flaw type. However, a successful segmentation of flaws is the prerequisite for the success of the subsequent flaw classification. It is worth no
    顯示於類別:[機械工程學系] 研討會論文

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