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標題: 影像註冊於轉盤定位之研究
Study of Image Registration for Rotary Disk Positioning
作者: 李政隆
Lee, Jheng-Lung
關鍵字: Registration
phase correlation
window function
Rotary DiskPositioning
出版社: 機械工程學系所
引用: [1] Foroosh, H., Zerubia, J., Berthod, M.,“ Extension of phase correlation to sub-pixel registration,”IEEE Trans. on Image Processing 11(3), 188–200 (2002). [2] Roberto Araiza, Hongjie Xie, Scott A. Starks, and Vladik Kreinovich“Automatic Referencing of Multi- Spectral Images,” Fifth IEEE Southwest Symposium on Image Analysis and Interpretation 2002. [3] Image Processing Centre, NUST Military College of Signals, Rawalpindi,Pakistan “Improved Phase Correlation Matching ” ,ICISP 2008, LNCS 5099, pp. 128–135, 2008 . [4] P. J. Besl and N. D. McKay, “A method for registration of 3-D shapes, ”IEEE Transactions on Pattern Analysis and Machine Intelligence, pp.239-256, 1992. [5] M. A. Herráez, D. R. Burton, M. J. Lalor, and M. A. Gdeisat, "Fast two-dimensional phase-unwrapping algorithm based on sorting by reliability following a noncontinuous path," Appl. Opt. Vol. 41, No. 35, pp. 7437–7444, 2002. [6] W. S. Hoge, Member, “A Subspace Identification Extension to the Phase Correlation Method,”IEEE Trans. Medical Imaging, Feb 2003. [7] B. S. Reddy and B. N. Chatterji. “An FFT-Based Technique for Translation, Rotation, and Scale- Invariant Image Registration”, Aug,pp.1266-1271, 1996. [8] Y. Keller, A. Averbuch. “A Projection-Based Extension of the Phase Correlation Method” SignalProcessing , ” Volume 87, Issue 1 , January, pp.124-133,2007. [9] R. J. Althof, M. G. J. Wind, and J. T. Dobbins, III*“A Rapid and Automatic Image Registration Algorithm with Subpixel Accuracy,” IEEE Transactions on Medical Imaging, VOL.16, NO. 3,June 1997. [10] S. P. Kim andW.-Y. Su, “Subpixel accuracy image registration by spectrum cancellation,” in Proc. ICASSP, pp. 153–156, 1993 [11] H. Shekarforoush, M. Berthod, and J. Zerubia, “Subpixel image registration by estimating the polyphase decomposition of cross power spectrum,” INRIA, France, Res. Rep. 2707, 1995. [12] Keller, Y. Averbuch, A. Miller, O. ,“Robust phase correlation,” In: Proc.17th IEEE International Conference on Pattern Recognition (2004) [13] H. Stone, M. Orchard, and E.-C. Chang, “Subpixel registration of images,”in Rec. of 33rd Asilomar Conf. on Signals, Systems,and Computers, vol. 2,pp. 1446– 1452, 1999. [14] M. Balci and H. Foroosh, “Subpixel Registration Directly from the Phase Difference,” Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume, Article ID 60796,Pages 1– 11, 2006. [15] E. De Castro and C. Morandi, “Registration of translated and rotated images using finite Fourier transforms,” IEEE Truns. Pattern Anal.Muchine Intell., vol. PAMI-95, Sept. , pp. 700-703,1987. [16]陳嘉旗,正弦條紋投射法於錫膏三維曲面輪廓量測之應用,國立 中興大學機械工程研究所碩士學位論文,台中,2004。
摘要: 影像註冊是一個重要的預處理操作其調整一張影像的像素與另一張影像的像素作配對。為了完成註冊來自不同次同一鏡頭的影像以及獲得轉盤精確的定位估計,因此必須獲得精準的轉換向量。 註冊的過程可以分為兩個步驟:首先使用Hanning窗調整初始影像以消除邊界的不連續以及基於利用傅立葉轉換性質的相位相關法來提供強健的像素精準註冊。旋轉變動可以用極座標將旋轉轉換為位移變化同樣的使用相位相關法推得。第二個步驟我們有興趣於提升粗註冊的影像達次像素精準,因此藉由延伸相位相關法分析兩張位移影像的離散相差其為一個二維的鋸齒訊號並藉由展開此相差訊號更近一步獲得次像素註冊參數。
Image registration is an important preprocessing operation that aligns the pixels of one image to corresponding pixels of a second image. In order to achieve accurate registration of images of a scene taken from different times, and to obtain accurate estimates of rotary disk positioning , so it is necessary to obtain accurate transform vector. The registration process divided into two stages: the first was modulate the original images with a Hanning window, so the discontinuities at the boundaries of the image are eliminated and based on phase correlation which utilizes the phase shift property of Fourier transform to robustly provides pixel accurate registration. Rotational movement can be deduced in a similar manner using the phase correlation by representing the rotation as a translational displacement with polar coordinates. The second step we are interested in the refinement of coarsely registered images to sub-pixel accuracy ,so using the by extending the phase correlation method, analyze discrete phase difference of two shifted images that is a 2-dimensional saw-tooth signal and by unwrap this phase difference signal further obtain sub-pixel registered parameters.
其他識別: U0005-2608200916310300
Appears in Collections:機械工程學系所



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