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研究生: 涂森屏
Tu, Sen-ping
論文名稱: 應用影像相關性量測變位
Application of image correlation to measure displacement
指導教授: 朱聖浩
Ju, Shen-haw
學位類別: 碩士
Master
系所名稱: 工學院 - 土木工程學系
Department of Civil Engineering
論文出版年: 2007
畢業學年度: 95
語文別: 英文
論文頁數: 122
中文關鍵詞: 影像處理數位相機變位影像相關性
外文關鍵詞: image processing, video camera, displacement, image correlation
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  • 本論文主要目的在利用數位相機發展自動、準確和非接觸的變位量測方法。 為了發展此系統,本論文採用比對影像相關性之理論,撰寫電腦程式可以由試體受力變形前和變形後之影像推算物體表面之變位。並使用兩種不同之方法進行量測。實驗之一是利用試體表面黏貼基準點並結合開發之電腦程式量測簡支梁受集中荷載之後之變位,進而利用變位資料求得剪力、彎矩分布。第二個實驗則利用新開發之比對影像相關性技術量測鋼構架之變位、並利用變位資料搭配最小二乘法推算剪力、彎矩分布。這些實驗值分別和解析解及有限元素分析之結果分析比對,結果顯示十分吻合。

    This thesis developed an automatic, accurate, and noncontact method that used video camera to measure displacement on surface of object. In order to develop the system, the theory of the digital image-correlation method has been applied. A computer program based on this correlation method was developed for the determination of the displacement due to the deformation of the image. There are two kinds of experiments which use different methods to measure displacements. One is the applied symbol dot method to obtain deflection, shear force and moment on simply supported beam. The other was the applied digital image correlation method to measure deflection, shear force and moment of steel frame. The accuracy of measurement results was validated by a simply supported beam subjected to a concentrated force using the theoretical equation and finite element method.

    Chapter 1. Introduction 1 1.1Prologue 1 1.2Literature review 2 1.3Motivation and purpose 4 1.4Scope 5 Chapter 2. Theoretical background 6 2.1 Object deformations 6 2.2 Digital-Image Correlation background 10 2.3 Newton-Raphson Method 14 2.4 Hermite Surfaces 33 Chapter 3. Using Digital Camera to Measure Beam Displacement 39 3.1 Introduction 39 3.2 Illustration of the experiment 39 3.3 Numerical validation and Comparison 44 Chapter 4. Using Image Correlation to Measure Beam Displacement 51 4.1 Introduction 51 4.2 Illustration of the experiment 51 4.3 Description of Image Correlation Program 59 4.4 Experimental results and comparisons 64 4.5 Discussion 66 Chapter 5. Conclusions and future works 72 5.1 Conclusions 72 5.2 Future works 74 References 76 Appendix 78

    1.Sutton, M.A., Wolters, W.J., Peters, W.H., Ranson, W.F. and McNeill, S.R., “Determination of Displacements Using an Improved Digital Correlation Method,” Image and Vision Computing, 1(3):133-139 (1983).
    2.T.C. Chu, W.F. Ranson, M.A. Sutton and W.H. Peters, “Applications of Digital-Image-Correlation Techniques to Experimental Mechanics,” Experimental Mechanics, 25(3):232-244 (1985)
    3.Bruck, H.A., McNeil, S.R., Sutton, M.A., and Peters, W.H., “Digital Image Correlation Using Newton-Raphson Method of Partial Differential Correction,” Experimental Mechanics 29(3):261-268 (1989).
    4.Foley, vanDam, Feiner and Hughes “Computer Graphics Principles and Practice,” Addison-Wesley Publishing Company, USA, 472-521 (1990)
    5.Schreier, H.W., Braasch, J.R., and Sutton M.A., “Systematic Errors in Digital Image Correlation Caused by Intensity Interpolation,” Optical Engineering 39(11):2915-2921 (2000).
    6.Yoneyama, S., and Morimoto, Y., “Accurate Displacement Measurement by Correlation of Colored Random Patterns,” JSME International Journal 46(2):178-184 (2003).
    7.Yoneyama, S., Kitagwa, A., Kitamura, K., and Kikuta, H., “Deflection Distribution Measurement of Steel Structure Using Digital Image Correlation,” In: L.M. Hanssen and P.V. Farrell (eds), Optical Diagnostics, Proceedings of SPIE, 5880, 58800G, International Society for Optical Engineering, Bellingham, WA(2005)
    8.Yoneyama, S., Kitagwa, A., Iwata, S., Tani, K., and Kikuta, H., “Bridge Deflection Measurement Using Digital Image Correlation,” Experimental Techniques 33(1):34-40 (2007)

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