簡易檢索 / 詳目顯示

回結果列表
研究生： 陳威宏
WEI-HUNG CHEN
論文名稱： 電纜連接器滑軌自動化光學檢測系統之開發
Development of an Automatic Optical Inspection System for the Rails of Cable Connectors
指導教授： 鄧昭瑞
Geo-Ry Tang
口試委員: 修芳仲
Fang-Jung Shiou
姜嘉瑞
Chia-Jui Chiang
邱鴻仁
none
學位類別： 碩士
Master
系所名稱： 工程學院 - 機械工程系
Department of Mechanical Engineering
論文出版年： 2012
畢業學年度： 100
語文別： 中文
論文頁數： 103
中文關鍵詞： 自動化光學檢測 、電纜連接器 、瑕疵檢測 、尺寸量測
外文關鍵詞： automatic optical inspection, cable connector, defect inspection, dimension measurement
相關次數： 點閱：368  下載：5 
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報

    • 本文探討電纜連接器中滑軌之自動化光學檢測系統的研發。此系
    統的硬體採用線性馬達搭配二組數位影像擷取模組整合成單一機台，
    開發完成的軟體包含特徵檢測、尺寸量測與瑕疵檢測等三項功能。其
    中特徵檢測是對於連接器的螺絲牙孔影像，分別透過傅立葉轉換與小
    波轉換後擷取影像中高頻的影像訊號，再搭配自行發展之影像處理程
    序，判別工件是否包含牙孔特徵。至於尺寸量測的部分，系統經由邊
    點偵測取得工件邊界資訊後，以最小平方法擬合出最適當的直線或圓，
    並透過光學尺讀值與特徵在影像中的位置計算孔徑與滑軌工件內、外
    寬度。最後對於金屬件可能的表面髒汙、刮傷與氣泡等情形，本文建
    議使用影像處理將正常影像移除後統計剩餘的總面積和，藉以判定工
    件是否包含瑕疵。

    This work develops an automatic optical inspection system for the
    rails of cable connectors. The hardware of the system includes two sets
    of CCD cameras and a platform driven by linear motors. The coded
    software has three main functions which are feature identification,
    dimension measurement and defect detection. In order to verify thread
    features on the rails, Fourier transform and wavelet transform are used to
    capture high-frequency signals on the images with round objects. The
    existence of thread features is judged by proper quantitative
    characteristics. For the measurement of critical dimensions, edge
    detection techniques are employed to collect the points on the circular or
    rectangular objects. In addition, least square methods are applied to find
    the best lines or circles which fit the rail images. Then, the outer and
    inner width of the rails as well as the diameters of holes on the rails are
    calculated combining the encoder’s readings of the platform and the
    location of specific features on the images. Finally, image subtraction is
    recommended to remove normal surface characteristics from the image of
    defected products. Different criteria based on the amount of abnormal
    pixels are used to determine dirt, scratches or bubbles on the surface of
    rails.

    摘要 ............................................................................................................. I Abstract ...................................................................................................... II 誌謝 ........................................................................................................... III 目錄 .......................................................................................................... IV 圖索引 ..................................................................................................... VII 表索引 ...................................................................................................... XI 第一章 緒論............................................................................................... 1 1.1 研究目的 ...................................................................................... 2 1.2 文獻回顧 ...................................................................................... 3 1.3 論文架構 ...................................................................................... 5 第二章 連接器鋅滑軌與影像處理 ........................................................ 7 2.1 壓鑄原理 ...................................................................................... 7 2.2 壓鑄製程與缺陷 .......................................................................... 8 2.3 連接器鋅滑軌 ............................................................................ 10 2.4 空間域影像處理 ........................................................................ 12 2.4.1 影像二值化與自動二值化 ............................................. 12 2.4.2 邊點偵測 ......................................................................... 14 2.4.3 圓偵測 ............................................................................. 16 2.5 頻率域影像處理 ........................................................................ 17 2.5.1 傅立葉轉換 ..................................................................... 17 2.5.2 小波轉換 ......................................................................... 19 第三章 系統架構 .................................................................................. 22 3.1 機構模組 .................................................................................... 23 3.1.1 運動平台 ......................................................................... 24 V 3.1.2 翻轉機構治具 ................................................................. 28 3.2 影像模組 .................................................................................... 33 3.2.1 影像擷取CCD ................................................................. 33 3.2.2 環型光源 ......................................................................... 34 3.3 電控模組 .................................................................................... 36 3.4 軟體控制模組 ........................................................................... 38 第四章 研究方法與實驗結果 ................................................................ 39 4.1 牙孔特徵檢測 ............................................................................ 39 4.1.1 自動抓取牙孔位置 ......................................................... 40 4.1.2 傅立葉轉換 ..................................................................... 44 4.1.3 小波轉換 ......................................................................... 48 4.2 重點尺寸之檢測 ........................................................................ 49 4.2.1 運動平台之校驗 ............................................................. 50 4.2.2 解析度 ............................................................................. 52 4.2.3 寬度量測 ......................................................................... 53 4.2.4 孔徑量測 ......................................................................... 56 4.3 瑕疵檢測 .................................................................................... 58 4.3.1 斷差檢測 ......................................................................... 58 4.3.2 柱腳 ................................................................................. 60 4.3.3 表面髒汙 ......................................................................... 63 4.3.4 刮傷 ................................................................................. 66 4.3.5 氣泡 ................................................................................. 67 4.4 實驗結果 .................................................................................... 69 第五章 結論與未來展望 ...................................................................... 74 5.1 牙孔特徵檢測 ........................................................................... 74 VI 5.2 重點尺寸驗證 ........................................................................... 74 5.3 瑕疵檢測 ................................................................................... 76 5.4 治具機構 ................................................................................... 77 參考文獻 ................................................................................................... 79 附件一 ....................................................................................................... 82 附件二 ....................................................................................................... 83 附件三 ....................................................................................................... 84 附件四 ....................................................................................................... 85 附件五 ....................................................................................................... 86 附件六 ....................................................................................................... 87 附件七 ....................................................................................................... 89 附件八 ....................................................................................................... 91 附件九 ....................................................................................................... 93 附件十 ....................................................................................................... 95 附件十一 ................................................................................................... 97 附件十二 ................................................................................................... 99 附件十三 ................................................................................................. 101 附件十四 ................................................................................................. 102 作者簡介 ................................................................................................. 103

    [1] 台灣三豐公司，「三次元操作手冊」，第1-120 頁，(2006)。
    [2] R. Jain, R. Kasturi, B. G. Schunck, MACHINE VISION,
    McGraw-Hill, Inc., ISBN 0-07-032018-7(1995).
    [3] Y. V. Chugui, Y. A. Lemeshko, and P. S. Zav’yalov, “Application of
    Diffractive Optical Elements for Inspection of Complicated
    Through Holes,” Fifth International Symposium on
    Instrumentation Science and Technology, Vol. 7133, pp. 713332-1-
    10 (2009).
    [4] I. Ibraheem, A. Binder, “Automated Inspection System of Stent,”
    IFMBE Proceedings 22, ed. by J. Vander Sloten, P. Verdonck, M.
    Nyssen, J. Haueisen, pp. 952-957 (2008).
    [5] G. H. Kim, S. W. Kim, and S. G. Lim, “Automatic Inspection of
    Geometric Accuracy of Optical Fiber Ferrules by Machine Vision,”
    In Process Control and Inspection for Industry, ed. by Shulian
    Zhang, Wei Gao, Vol. 4222, pp.39-43 (2000).
    [6] N. Otsu, “A Threshold Selection Method from Gray Level
    Histogram,” IEEE Transactions On Systems, Man, and Cybernetics,
    vol. 9, pp. 62-66 (1979).
    [7] J. Kapur, "A New Method for Gray-Level Picture Thresholding
    Using the Entropy of the Histogram", Computer Vision, Graphics,
    and Image Processing, Vol. 29, pp.273-285 (1985).
    [8] W. H. Tsai, “Moment-Preserving Thresolding: A New Approach,”
    Computer Vision, Graphics, and Image Processing, Vol. 29,
    PP.377-393 (1985).
    [9] H. F. Ng, “Automatic Thresholding for Defect Detection”, Pattern
    Recognition Letters, Vol. 27, pp. 1644-1649 (2006).
    80
    [10] 彭德保、陳思翰、張元碩、李恕明、張朝香、王文政，「內螺
    紋自動檢測機台之設計研發」，技術學刊，第二十五卷，第三
    期，第235-243 頁，(2010)。
    [11] Y. Zhao, P. S. Li, and Z. B. Pu, “MJ Internal Thread Used for
    Aerospace and Its Non-Contact Test Method with a Fiber Optic
    Sensor,” Proceeding of SPIE, Vol. 3740, pp. 501-504 (1999).
    [12] 財政部臺灣省中區國稅局總局，「99 年度模具製造業原物料耗
    用通常水準」， http://www.ntact.gov.tw/frontend/Category1/
    PrgShowDetail.asp?WhichType=1&PrgID=1003&MainDataID
    =3241 (2011)。
    [13] P. S. Liao, T. S. Chen, and P. C. Chung, “A Fast Algorithm for
    Multilevel Thresholding”, Journal of Information Science and
    Engineering, Vol. 17, no.5 pp. 713-727 (2001)
    [14] J W. Cooley, and J. W. Tukey, “An Algorithm for the Machine
    Calculation of Complex Fourier Series”, Mathematics of
    Computation, Vol. 19, pp. 297-301 (1965)
    [15] 鍾國亮，「資料壓縮的原理與應用」，全華科技圖書股份有限公
    司，(1992)。
    [16] SMMC斯麥德國際，http://www.smmc.com.tw/，(2012)。
    [17] 上銀科技，http://www.hiwin.com.tw/，(2012)。
    [18] MicroE System，http://www.microesys.com/index.html，(2012)。
    [19] 東方馬達，http://www.orientalmotor.com.tw/，(2012)。
    [20] 擎翔實業有限公司，http://www.csim.com.tw，(2012)。
    [21] 台灣歐姆龍，http://www.omron.com.tw，(2012)。
    [22] 台灣三住，http://tw.misumi-ec.com/，(2012)。
    [23] 光道視覺科技股份有限公司，http://www.aisys.com.tw/，(2012)。
    81
    [24] ImagingSource ， http://www.theimagingsource.com/zh_TW/ ，
    (2012)。

    QR CODE