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博碩士論文 etd-0709109-193237 詳細資訊
Title page for etd-0709109-193237
論文名稱
Title
利用經驗模態分解法消除干涉條紋的雷射光斑
Speckle-reduction using the empirical mode decomposition for fringe analysis
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
49
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2009-07-08
繳交日期
Date of Submission
2009-07-09
關鍵字
Keywords
光斑、干涉條紋、經驗模態分解法
speckle, fringe analysis, EMD
統計
Statistics
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中文摘要
在光學檢測領域中,對影像中干涉條紋進行相位的演算是還原物體形貌必要的一個程序,其相關的實驗包括了干涉儀、Moiré分析和投影輪廓儀。然而在使用雷射光為光源時,光斑是必然所產生的結果。在本論文中,我們研究了以經驗模態分解法消除雷射光斑的可行性,並發現經過我們發展出來的模式,相位將得以精確地展開,從而還原出更清晰的影像。
Abstract
Phase-extraction from fringe patterns is an inevitable procedure in many applications, such as interferometry,Moiré analysis, and profilometry using structured light illumination. However, speckle noises could be introduced when a coherent light source is used. In this thesis, we use the empirical mode decomposition (EMD) to perform the speckle-reduction. It is found that phases can be extracted with high accuracy once speckle-reduction is performed with the EMD.
目次 Table of Contents
Contents
Page
Abstract………………………………………………………….. I
Contents………………………………………………………..... II
List of Figures…………………………………………………… III
Chapter 1
Introduction…………………………………………………….... 1
Chapter 2
Speckle Noise…………………………………………………… 3
Chapter 3
Signal extraction by the EMD
3.1 Principle of EMD……………………………………….. 5
3.2 Quantitative analysis to speckles in frequency domain… 9
3.3 Simulation of speckle-reduction using EMD…………… 12
3.4 Statistic simulation to speckle removal…………………. 16
Chapter 4
Phase-extraction
4.1 Five-step phase-shifting algorithm……………………... 18
4.2 Phase-extraction from noisy fringe patterns……………. 19
Chapter 5
Experiments: Noise reduction using the EMD
5.1 Experiment setup……………………………………….. 21
5.2 Phase-extraction………………………………………… 23
5.3 Comparison between the EMD and bandpass- filtering
algorithm……………………………………………....... 34
Chapter 6
Conclusion……………………………………………………..... 37
References……………………………………………………….. 38
參考文獻 References
1. R. E. Brooks and L. O. Heflinger, “Moiré gauging using optical interference patterns,” Appl. Opt. 8, 935-939 (1969).

2. V. Srinivasan, H. C. Liu, and M. Halioua, “Automated phase-measuring profilometry of 3-D diffuse objects,” Appl. Opt. 23, 3105-3108 (1984).

3. V. Y. Su, G von Bally, and D. Vukicevic, “Phase-stepping grating profilometry: utilization of intensity modulation analysis in complex objects evaluation,” Opt. Commun. 98, 141-150 (1993).

4. H. Liu, W. H. Su, K. R., and S. Yin, “Calibration-based phase-shifting projected fringe profilometry for accurate absolute 3D surface profile measurement,” Opt. Commun. 216, 65-80 (2003).

5. P. Slangen, L. Berwart, C. Veuster, J.-C. Golinval, and Y. Lion, “Digital speckle pattern interferometry (DSPI): A fast procedure to detect and measure vibration mode shapes,” Opt. Lasers Eng. 24, 311-321 (1996).

6. Huntley, J. M., Kaufmann, G. H. and Kerr, D., "Phase-shifted dynamic speckle pattern interferometry at 1 kHz," Appl. Opt. 38 6556 - 6563 (1999).

7. K. Creath, “Phase-measurement interferometry techniques,” Prog. Opt. 26, 350-393 (1988).

8. D. T. Kuan, A. A. Sawchuk, T. C. Stand, and P. Chavel, “Adaptive restoration of images with speckle,” IEEE Trans. Acoust. Speech Signal Process. 35, 373-383 (1987).

9. A. Lopes, R. Touzi, and E. Nezry, “Adaptie speckle filters and scene heterogeneity,” IEEE Trans. Geosci. Remote Sens. 28, 992-1000 (1990)

10. A. Lopes, E. Nezy, R. Touzi, and H. Laur, “Structure detection and statistical adaptive speckle filtering in SAR images,” Int. J. Remote Sens. 14, 1735-1758 (1993).
11. A. Davila, G. H. Kaufmann, and D. Kerr, “An evaluation of synthetic aperture radar noise reduction techniques for the smoothing of electronic speckle pattern interferometry fringes,” J. Mod. Opt. 42, 1795-1804 (1995).

12. D. Kerr, F. Mendoza Santoyo, and J. R. Tyrer, “Manipulation of the Fourier components of speckle fringe patterns as a part of an interferometric analysis process,” J. Mod. Opt. 36, 195-203 (1989).

13. J. S. Lim, “Image restoration by short space spectral subtraction,” IEEE Trans. Acoust. Speech Signal Process. 28, 191-197 (1980).

14. N. E. Huang, Z. Shen, R. L. Steven, M. C. Wu, H. S. Shih, Q. A. Zheng, N. C. Yen, C. C. Tung, and H. H. Liu, “The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis,” Proc. R. Soc. Lond., Ser. A 454, 903-995 (1998).
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