Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/2311
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dc.contributor.advisor莊勝雄zh_TW
dc.contributor.author許焜程zh_TW
dc.date2001zh_TW
dc.date.accessioned2014-06-05T11:43:00Z-
dc.date.available2014-06-05T11:43:00Z-
dc.identifier.urihttp://hdl.handle.net/11455/2311-
dc.description.abstract本論文之目的在於以機器視覺技術做螺絲外型瑕疵的檢測。並根據所提出的螺絲檢測系統,以實物做範例,來驗證其可行性。 在螺絲檢測共分為兩部分,一為螺絲打頭步驟的檢測,另一為螺絲搓牙步驟的檢測。檢測前首先必須做硬體設備校正的工作,接著在環形光源照明的環境下,透過CCD攝影機擷取標準螺絲與待測螺絲的影像,然後做影像的前處理,如減少雜訊、影像二值化,接著做影像旋轉以及位置的校正。在打頭步驟的檢測方面,檢查待測物螺絲軸部是否有推拔現象,以及進行尺寸的檢測。而在搓牙的部分,則檢查待測螺絲的螺紋是否有瑕疵。 最後經由實驗範例,說明了本論文所發展出的螺絲自動化檢測系統,具有高度的正確性及在線上檢測的可行性。這個系統相較於人工檢測將有助於增加螺絲檢測的精準度及縮短檢測的時間,將來更可以作為其他工件自動化檢測的基礎。zh_TW
dc.description.abstractThe purpose of this thesis is to inspect the appearance defects of screws by machine vision. The proposed inspection system has been implemented and samples are tested to show that the system is applicable. The screw inspection includes two steps, one is the inspection of the screw heading, the other step is the inspection of screw thread rolling. Before the inspection, the hardware equipment has to be calibrated. In a ring light illuminating environment, the standard screw image and the inspected screw image are extracted. And image pre-processes, such as decrease noise, and image binary, are imposed. Furthermore, images are processed by rotating and position adjusting. On the inspection of screw heading step, taper of screw axle and the dimensions of screws are examined. On the inspection of screw thread rolling, the defects screw threads are examined. Finally, samples are tested to show that the system performance is highly accurate and the system is on-line practicable. The system will increase the accuracy of the screw inspection and save time and effort of the inspection process comparing to manual inspection. And the results will form a foundation for the automatic inspection of other products in the future.en_US
dc.description.tableofcontents第一章 介紹1 1.1 目的與方法1 1.2 文獻回顧2 1.3 螺絲的介紹3 1.4 內容大綱6 第二章 影像處理技術之原理7 2.1 影像處理方法7 2.1.1 空間域方法7 2.1.2 頻率域方法10 2.2 影像二值化11 2.2.1 最佳臨界值之選取12 2.2.2 影像空洞的填補15 第三章 螺絲檢測系統之建立17 3.1 螺絲影像位置校正18 3.1.1 影像主軸角度之計算18 3.1.2 影像旋轉20 3.2 螺絲影像檢測23 3.2.1 螺絲軸部影像邊緣斜率之計算24 3.2.2 螺絲尺寸之檢測25 3.2.3 灰階影像投影26 3.2.4 影像之相關係數27 第四章 系統架構與檢測範例29 4.1 系統架構29 4.2 檢測範例30 4.3 結語35 第五章 結論與展望36 參考文獻38zh_TW
dc.language.isoen_USzh_TW
dc.publisher機械工程學系zh_TW
dc.subjectAutomatic inspectionen_US
dc.subject瑕疵檢測zh_TW
dc.subjectscrewen_US
dc.subjectimage processen_US
dc.subjectMachine visionen_US
dc.subject螺絲zh_TW
dc.subject影像處理zh_TW
dc.subject機器視覺zh_TW
dc.title應用機器視覺於螺絲外型之檢測zh_TW
dc.titleThe Appearance Inspection of the Screw by Machine Visionen_US
dc.typeThesis and Dissertationzh_TW
item.grantfulltextnone-
item.openairetypeThesis and Dissertation-
item.cerifentitytypePublications-
item.languageiso639-1en_US-
item.fulltextno fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:機械工程學系所
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