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研究生:黃耀文
研究生(外文):Yao-Wen Huang
論文名稱:共軛焦生物顯像之套合
論文名稱(外文):Registration of Biological Image Stack from Confocal Microscope
指導教授:林強林強引用關係江安世
指導教授(外文):Chaung LinAnn-Shyn Chaing
學位類別:碩士
校院名稱:國立清華大學
系所名稱:工程與系統科學系
學門:工程學門
學類:核子工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:44
中文關鍵詞:影像套合相關匹配傅利葉轉換
外文關鍵詞:Registrationcross-correlationFourier transform
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摘要
為得到厚度更深的高解析度共軛焦顯微鏡立體影像,必須將樣本分別從正反面做多次的局部掃圖,然後進行立體影像套合,以得到一高解析度共軛焦顯微鏡立體影像。
完整的立體影像套合主要是先將正面及反面的局部掃描影像分別進行XY平面的影像套合,然後將完成XY平面影像套合之正反面掃圖影像組,進行Z軸上的影像套合。在XY平面的影像套合方面本研究使用相關匹配(cross-correlation)方法,找出X方向及Y方向的平移,並利用多解析度方法來減少計算量。在Z軸上的影像套合方面則使用快速傅利葉轉換(fast Fourier transform)方法判斷正反面掃圖影像組在Z軸上是否有重疊,如有重疊則結合Sobel邊緣檢測、相關匹配、與快速傅利葉轉換等方法來判定正面與反面掃圖所得影像組在Z軸上的重疊位置,再使用快速傅利葉轉換方法找出X、Y方向的平移及以Z軸旋轉的角度,以調整上下層影像組的位置,使得出的影像為完整之立體影像。為驗證發展之程式,以果蠅的大腦在共軛焦顯微鏡下做正面與反面多次局部掃圖,以上述之方法與邏輯將其組合成一完整的影像。

Abstract
In order to obtain the higher resolution images from confocal microscope, a method has been developed to construct the whole 3D image based on several sub-image stacks. High-resolution images were obtained from scanning frontal and rear side of samples at specific area several times. The images were processed by image registration via XY plane and then Z-axis Montage. The XY plane montage is to combine the two individual 2D images from two sub-image stacks. The cross-correlation method was used to find the translation of X and Y axises, meanwhile decreased resolution of image was adopted to speed the computer calculation. The Z-axis montage is to assemble two 3D image stacks in Z-axis direction. The fast Fourier transform (FFT) was used to check if the frontal and rear side of scanning stacks overlap or not. If there is overlap, using FFT, Sobel edge detector and cross-correlation determine the overlap position. Then using the images of the overlap layer compute the translation of XY plane and rotation angle (θ) of Z-axis by FFT. After processing, adjust the position of the frontal and rear view of scanning stacks to obtain the whole 3D images.
In order to demonstrate this program, we use biological brain images from fruit fly, D. melanogaster. The results show that the 3D image stacks were successfully combined into the intact and high-resolution 3D image.

目錄
中文摘要……………………………………………………………………...Ⅰ
英文摘要……………………………………………………………………...Ⅱ
誌謝…………………………………………………………………………...Ⅲ
目錄…………………………………………………………………………...Ⅳ
圖表目錄……………………………………………………………………...Ⅵ
一 前言……………………………………………………………………….1
1-1共軛焦顯微鏡生物影像取得過程簡介……………………………...1
1-2研究目的……………………………………………………………...4
1-3文獻回顧……………………………………………………………...5
1-4 研究方法……………………………………………………………..6
二 影像套合技術……………………………………………………….…..8
2-1 XY-平面影像套合……………………………………………….…..8
2-2 Z軸上的影像套合…………………………………………………..11
2-2-1 快速傅利葉轉換應用於影像套合………………………….11
2-2-2 Sobel邊緣檢測………………………………………….…...17
2-2-3判斷正反面掃圖影像組在Z軸上是否有重疊……………..21
2-2-4確定正反面掃圖影像組在Z軸上的重疊位置……………..25
三 實驗結果………………………………………………………………..30
3-1結果………………………………………………………………….30
3-1-1實驗一………………………………………………………..30
3-1-2實驗二………………………………………………………..36
3-2 結果討論……………………………………………………….…...41
四 結論與建議…………………………………………………………….42
五 參考文獻……………………………………………………………….43

參考文獻
1. 連國珍,數位影像處理,儒林1999二版
2. L. G. Brown, A survey of image registration techniques, ACM Computing Surveys, Vol. 24, No. 4, pp. 325-376, Dec. 1992.
3. B. S. Reddy and B. N. Chatterji, An FFT-based technique for translation, rotation and scale-invariant Image Registration, IEEE Trans on Image Processing, Vol. 5, No. 8, August. 1996.
4. S. K. Murthy, J. Qian, C. L. Novak, and Z. Wu, Image mosaics for biomedical visualization, Siemens Corporate Research, Princeton.
5. P. Dani and S. Chaudhuri, Automated assembling of image: image montage preparation, Pattern Recognition, Vol. 28, No. 3, pp. 431-445,1995.
6. D. LG Hill and D. J. Hawkes, Medical image registration using voxel similarity measures, AAAI Spring Symposium on Computer Vision in Medical Image Processing, Stanford University, March 1994
7. 吳成柯等譯,數位影像處理,儒林1996初版 三刷
8. C. T. Hsu and R. A. Beuker, Multiresolution feature-based image registration, In Visual Communications and Image Processing 2000, Proc. of SPIE, Vol. 4067 , pp. 1490-1498, June 2000.
9. 洪偉佳,1999。自動化影像套合之研究,國立交通大學碩士論文
10. J. Flusser and T. Suk, A moment-based approach to registration of images with affine geometric distortion, IEEE Trans on Geoscience and Remote Sensing, Vol. 32, No. 2, March. 1994.
11. E. De Castro and C. Morandi, Registration of translated and rotated images using finite Fourier transforms, IEEE Trans. Pattern Anal. Machine Intell., Vol. PAMI-95, pp. 700-703, Sept. 1987.
12. L. Lucchese, G.M. Cortelazzo, and C Monti, A frequency domain tecnique for estimating rigid planar rotation, Proc. IEEE International Symposium on Circuits and Systems, Atlanta, pp.774-777, May. 1996.
13. L. G. Shapiro and G. C. Stockman, Computer vision, Prentice Hall, 2001

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