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標題: 應用影像處理技術為基礎之形狀辨識
Application the image processing methods of shape recognition
作者: 吳政墩
Wu, Zheng-Dun
關鍵字: Machine Vision
mage Processing
shape recognition
出版社: 機械工程學系所
引用: [1] R. Adams and L. Bischof, “Seeded region growing,” IEEE Trans. Pattern Anal. Machine Intell., vol. 6, June 1994. [2] D. Geman, S. Geman, C. Graffigne, and P. Dong, “Boundary detectionby constrained optimization,” IEEE Trans. Pattern Anal. Machine Intell.,vol. 12, no. 7, pp. 609–628, 1990. [3] S. A. Hojjatoleslami and J. Kittler, “Region growing: A new approach,”IEEE Trans. Image Processing, vol. 7, pp. 1079–1084, July 1998. [4] Wei-Ying Ma and B. S. Manjunath, “EdgeFlow: A Technique for Boundary Detection and Image Segmentation,” IEEE Trans. Image Processing, Vol. 9, No. 8, pp. 1375-1388, Aug. 2000 [5] Milan Sonka “Image Processing , Analysis , and Machine Vision”,Books/Cole,1999 [6] 黃亮凱“自動化的物體形狀辨識與檢驗系統之發展”,國立清華大學工業工程研究所博士論文,1994。 [7] 戴紹國“利用鏈碼方向性抽取平面物件特徵以達成形狀辨識及分類的方法” 國立中興大學應用數學系碩士論文,1997。 [8] 涂軍橋“精密零件幾何形狀辨識”,元智大學機械工程學系碩士論文,2003。 [9] 陳志勳 “應用圖形特徵辨識轉群組碼技術”,國立中興大學機械工程所碩士論文,1998。 [10] 嚴炯熊 “銑削工件之圖形特徵辨識系統”,國立中興大學機械工程所碩士論文,2002。 [11] 吳上立、林宏墩,“C語言數位影像處理”,全華科技圖書股份有限公司,2005。 [12] 林宸生,“數位信號-影像與語音處理”,全華科技圖書股份有限公司,1997。 [13] 黃文吉,“C++ Builder與影像處理”,儒林圖書公司,2004。 [14] 鐘國亮,“影像處理與電腦視覺”,台灣東華圖書。 [15] Ivor Hortins,蔡明志譯““Beginning Visual C++ 6”,碁峯資訊。 [16] 蕭明城、周岱琳,“Visual C++ 6 完全攻略 ”,金禾資訊。 [17 ]劉濤,“VC++開發Windows程式活用100例 ”,數位人資訊。
摘要: 近年來,影像處理與機器視覺獲得極大的重視與發展,在工業生產、教育、通訊以及娛樂方面都有廣泛的應用,且具有相當重要的地位。目前研發的軟硬體系統,由於電腦科技的迅速發展,因而具有輕便短小、運算快速等優點,使得這門學術更加的實用。 本研究主要是利用機器視覺與影像處理來開發一個幾何形狀辨識系統。本量測系統首先利用CCD攝影機與影像擷取卡獲得圖形資料,再透過自行撰寫的軟體,執行影像處理步驟,包括:中值濾波、二值化處理、膨脹、收縮…等,再利用擷取到之特徵值,經計算轉化後獲得圖形之面積及弧度大小,以進行圖形之辨識。最後再將資料與實際物件進行比對,驗證此系統的正確性。
The development of computer technology, Image processing and Machine Vision have been significantly considered and developed in recent years. There is extensive application in industrial production, education, communication and recreation areas, and is also have quite important positions. The software and hardware system researched and developed at present is not only light and short and small, and have operation fast advantage at the same time, so make this academy important and practical. This research is mainly to utilize the Machine Vision and Image Processing system to develop a geometry form distinguish. At first ,this measure system utilizes the CCD camera and the frame grabber to get the figure materials. and then through the software writing by oneself, carry out the image and deal with several steps, including: mean filter, binary, dilation, erosion....etc, using characteristic value to get the area and radian of figure. Followed this way to proceed the recognize of figure; Eventually the accuracy of the system was certified by comparing the experimental data with the real object.
其他識別: U0005-1707200616285400
Appears in Collections:機械工程學系所



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