Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/1633
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dc.contributor黃敏睿zh_TW
dc.contributor蔡東憲zh_TW
dc.contributor.advisor李吉群zh_TW
dc.contributor.advisorJi-Chun Leeen_US
dc.contributor.author李政翰zh_TW
dc.contributor.authorLee, Cheng-Hanen_US
dc.contributor.other中興大學zh_TW
dc.date2012zh_TW
dc.date.accessioned2014-06-05T11:41:16Z-
dc.date.available2014-06-05T11:41:16Z-
dc.identifierU0005-2208201115261700zh_TW
dc.identifier.citation[1]John Fox,“Robust Regression,”January(2002). [2]Qinghang He, Zhenxi Zhang, A new edge detection algorithm for image corrupted by White-Gaussian noise, China,Int. J. Electron. Commun. (AEÜ) 61 (2007) 546 -550. [3]Lijun Ding,Ardeshir Goshtasby,On the Canny edge detector, Dayton, Pattern Recognition 34 (2001) 721-725. [4]Ramesh Jain, Rangachar Kasturi, Brian G.Sshunck, “Machine Vision,”McGraw-Hill International Editions(1995). [5]Zhengyou Zhang,“A Flexible New Technique for Camera Calibration, ” (1998). [6] Dong-Su Kim, Wang-Heon Lee, In-So Kweon, Zhenxi Zhang, Automatic edge detection using 3 • 3 ideal binary pixel patterns and fuzzy-based edge thresholding, South Korea, Pattern Recognition Letters 25 (2004) 101–106. [7] Du-Ming Tsai, A fast thresholding selection procedure for multimodal and unimodal histograms, R.O.C, Pattern Recognition Letters 16 (1995) 653-666. [8]范光照、張郭益,"精密量測",高立圖書,台北市 [9]史詠傑,推拔管螺紋於三次元量床檢測與不確定度分析,國立中興大學機械工程研究所碩士學位論文,台中,2008。 [10]施佑宗,應用機械視覺於檢測內螺紋之可行性探討,國立中 興大學機械工程研究所碩士學位論文,台中,2007。 [11]歐陽衡,機器視覺用在封裝IC外觀瑕疵檢測之研究,國立成功大學工程科學研究所碩士學位論文,台南,2007。zh_TW
dc.identifier.urihttp://hdl.handle.net/11455/1633-
dc.description.abstract如今的檢驗方式通常採用電腦視覺的方式,利用改良光源、攝影機取像,搭配電腦運算,然後在影像上分析我們的工件,並判斷工件是否合乎標準。 本文採用三線法的原理,透過移動螺紋並記錄其位移量,在螺紋上下半部的相對位置各拍一張影像來做分析,為了避免螺紋表面上的反光或是影像亮度不均,因此採用平行光背光源,接著本文分別對待測物之影像使用二值化與Laplacian of Gaussian(LoG)影像預處理,再透過OPENCV裡的影像處理和線性內插搜尋輪廓座標點並代入線性回歸計算螺紋中每條齒腹所匹配的最佳直線,透過演算法分析其螺紋節距、節徑、大徑與小徑。 最後利用光學投影機重複量測螺紋,與本文實驗結果做比對,再針對實驗誤差因子的影響做不確定分析。zh_TW
dc.description.abstractToday inspection method usually adopts computer vision. That is the workpiece is analyzed in the workpiece picture, and it is determined whether the workpiece Conforms with the standard by improving the light source, taking the workpiece picture, and matching up computer''s calculation. In this paper, we adopt three-wire method that takes down quantity by moving the screw and takes the workpiece picture on lower and higher the screw part .Then we adopt Parallel -back light source for avoiding light reflection or uneven brightness. We use binarization algorithm and LoG algorithm image pretreatment separately and afterward use OPENCV and linear interpolation search edge point which substitutes linear regression to calculate the best matched line of tooth flank which analyze pitch, pitch diameter, big diameter, small diameter in the screw. Finally, We use profile projector to measure the screw repeatedly that compare with ours experiment''s result in this paper, then that directed agains error factors to do uncertainty analysis.en_US
dc.description.tableofcontents摘 要 I 英文摘要 II 致 謝 III 圖目錄 VII 表目錄 X 第一章 緒論 1 1-1 研究背景 1 1-2 研究動機 1 1-3 文獻回顧 2 1-4 論文架構 2 第二章 量測方法與原理 4 2-1 前言 4 2-2 光源 5 2-2-1 背光源 5 2-2-2 光源形式 6 2-3 二值化影像處理 6 2-3-1 濾除雜訊 8 2-4 Laplacian of Gaussian 影像處理 10 2-4-1高斯濾波器 11 2-4-2 Laplacian 11 2-4-3 Laplacian of Gaussian 14 2-4-4 線性內插法 14 2-5 線性回歸演算法 17 2-5-1 最小平方直線法 17 2-5-2 強健最小平方直線法 20 2-5-3 完全最小平方直線法 22 2-5-4 強健完全最小平方直線法 25 第三章 演算法流程 29 3-1 低倍率鏡頭搭配二值化影像處理的演算法 29 3-2 高倍率鏡頭搭配二值化影像處理的演算法 34 3-3 高倍率鏡頭搭配LoG影像處理的演算法 43 第四章 量測系統架設與校正 49 4-1 量測系統架設 49 4-2 鏡頭畸變校正 52 4-2-1 校正原理 52 4-2-2 Telecentric鏡頭攝影機校正 54 4-2-3 Z2高倍率攝影機校正 55 4-2-4小結 57 第五章 實驗結果 58 5-1 實驗結果比較 58 5-2 實驗驗證 63 5-2-1 光學投影機 63 5-2-2 分厘頭螺紋 64 5-2-3 光學投影機量測螺紋結果 65 5-3 不確定度分析 67 5-3-1 節距不確定度分析 69 5-3-2 大徑、小徑、節徑不確定度分析 71 第六章 結論與未來展望 74 參考文獻 75zh_TW
dc.language.isoen_USzh_TW
dc.publisher機械工程學系所zh_TW
dc.relation.urihttp://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-2208201115261700en_US
dc.subjectcomputer visionen_US
dc.subject電腦視覺zh_TW
dc.subjectthree-wire methoden_US
dc.subjectParallel -back light sourceen_US
dc.subjectbinarizationen_US
dc.subjectLoGen_US
dc.subjectlinear interpolationen_US
dc.subject三線法zh_TW
dc.subject平行光背光源zh_TW
dc.subject二值化zh_TW
dc.subjectLoGzh_TW
dc.subject線性內插zh_TW
dc.title螺紋自動光學檢測zh_TW
dc.titleAutomatic Optical Inspection of Screwen_US
dc.typeThesis and Dissertationzh_TW
item.fulltextno fulltext-
item.languageiso639-1en_US-
item.openairetypeThesis and Dissertation-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
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