| 研究生: |
林慧姍 Hui-Shan Lin |
|---|---|
| 論文名稱: |
影像處理應用於自動螺絲鎖附機定位控制之設計與實現 |
| 指導教授: |
董必正
Pi-Cheng Tung |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 機械工程學系 Department of Mechanical Engineering |
| 論文出版年: | 2016 |
| 畢業學年度: | 104 |
| 語文別: | 中文 |
| 論文頁數: | 86 |
| 中文關鍵詞: | 影像處理 、自動鎖附系統 、座標轉換 |
| 外文關鍵詞: | image process, robot manipulator, Coordinate conversion |
| 相關次數: | 點閱:13 下載:0 |
| 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 |
科技日新月異,電腦運算速度的提升,使得電腦不僅僅成為生活中重要的幫手,更是工廠生產線上不可或缺的主角,工業上的機械視覺應用廣泛,視覺檢測、影像追蹤、精密定位…等,皆可透過電腦來幫忙完成。而機械手臂也為工業中自動化最為便利的設備,它的活動範圍廣,可塑性高,能因應不同的環境,配合不同的設備方便且有效率的達到組裝搬運的功能。
本研究主要以Visual Studio C++為基礎,建立一個影像偵測定位的影像視覺系統,搭配MITSUBISHI型號RV-2SD的六軸機械手臂來完成空間平面上的定位,系統主要包括兩個部分,第一部分為影像處理,以影像卡擷取影像後,透過灰階化、濾波、二值化、邊緣化和圓偵測找出所需要的目標位置,來進行定位,另一部分為座標轉換,將第一部分所求出的目標位置,透過求出的轉換矩陣換算出相對於機械手臂位置,並控制其機械手臂到達其目標位置。
Automation of the factory is more and more popular since the microprocessor becomes faster in recent years. The robot has been used in the several manufacturing tasks such as welding, painting…ect. The machine vision is more and more accurate and quick, especially in graph identify and position. The combination of robot and machine vision would replace manpower and be popular in the feature.
This thesis is based on Visual Studio C++, and introduces how to combine the robot system and image process system. We design a user interface that the robot and image process can be used and complete the several image processing algorithms.
[1] T. Brogardh, "Present and future robot control development—an industrial perspective," Annual Reviews in Control, vol. 31, pp. 69-79, 2007.
[2] N. Asakawa and Y. Takeuchi, "Teachingless spray-painting of sculptured surface by an industrial robot," in Proceedings of IEEE International Conference on Robotics and Automation, 1997, pp. 1875-1879.
[3] S. Choi and W. S. Newman, "Design and evaluation of a laser-cutting robot for laminated, solid freeform fabrication," in Proceedings of IEEE International Conference on Robotics and Automation, 2000, pp. 1551-1556.
[4] C. B. Smith, "Robotic friction stir welding using a standard industrial robot." in Kei Kinzoku Yosetsu (Journal of Light Metal Welding and Construction), vol.42, pp. 40-41, 2004.
[5] F. Nagata, K. Watanabe, K. Kiguchi, K. Tsuda, S. Kawaguchi, Y. Noda and M. Komino, "Joystick teaching system for polishing robots using fuzzy compliance control," in Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2001, pp. 362-367.
[6] Y. F. Zheng and J. Luh, "Optimal load distribution for two industrial robots handling a single object," in Proceedings of IEEE International Conference on Robotics and Automation, 1988, pp. 344-349.
[7] 許毅然,”視覺導引物件抓取之遠端機械手臂控制”,2003CAC中華民國自動控制研討會暨生物機電系統控制與應用研討會,811-816頁,台南科技大學,台南縣,2003年
[8] 林鈺祥,”結合順應性控制之新型教導控制系統”,國立台北科技大學,碩士論文,民國102年
[9] 寶俐工業專利網址file:///C:/Users/User/Desktop/US2012067176A1.pdf
[10] R J. Schilling, “Fundamentals of Robotics,” Prentice-Hall, Inc., 1990.
[11] J J. Craig, “Introduction to robotics: mechanics and control,” Addison-Wesley Publishing Company, Inc., 1989.
[12] W. Stadler, “Analytical Robotics and Mechatronics,” McGraw-Hill , 1995.
[13] F. L. Lewis, C. T. Abdallah, and D.M. Dawson “Control of Robot Manipulators,” Macmillan, 1993.
[14] N. Otsu, “A Threshold Selection Method from Gray-Level Histograms,” IEEE Transactions on systems, Man, and Cybernetics, SMC-9, pp.62-66,1979.
[15] A.C. Bliton, M.J. Patton, M.L. Rolli, K.P. Roos, S.R. Taylor, “Microscopic motion analysis: Laplacian-of-Gaussian masks for subpixel edge detection,” Engineering in Medicine and Biology Society, vol.3, 1098 – 1099(1988).
[16] D.H Ballard, “Generalizing The Hough Transform To Detect Arbitrary Shapes,” Pattern Recognition, 13, 2, pp. 111-122, 1981.
[17] D. B. Tzvi and M. B. Sandler, “A combinatorial Hough transform,” Pattern Recognition Letters, 11, 3, pp.167-174, 1990.
[18] J. R. Bergen and H. Shvaytser, “A probabilistic algorithm for computing Hough transforms,” Journal of Algorithms, 12, 4, pp.639-656, 1991.
[19] T.C. Chen and K.L.Chung, ”A randomized algorithm for detecting circles,” The 13th IPPR Conference on Computer Vision, Graphics and Image Processing, R.O.C., August 20-22, Vol. 2,pp.118-124, 2000.
[20] 鍾國亮,影像處理與電腦視覺,第五版,台灣東華書局,台北市,民國101年。
[21] G.Woods,數位影像處理,廖紹綱,台灣培生教育,台北市,民國98年。
[22] 蘇祖澤,VisualC++的天空,儒林圖書,台北市,2008年。
[23] 望熙榮,望熙貴,OpenCV With Visual Studio影像辨識處理,博碩文化,新北市,2015年。
[24] 陳勝勇,劉盛,基於OpenCV的計算機視覺技術實現,二版,科學出版社,北京,2009年。
[25] 劉瑞禎,于仕琪,OpenCV教程-基礎篇,北京航空航天大學,北京,2007年。