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研究生: 鄭小玲
Cheang, Sio-Leng
論文名稱: 3D Surface Reconstruction from Fundus Stereo Images
3D Surface Reconstruction from Fundus Stereo Images
指導教授: 謝孟達
Shieh, Meng-Dar
學位類別: 碩士
Master
系所名稱: 規劃與設計學院 - 工業設計學系
Department of Industrial Design
論文出版年: 2002
畢業學年度: 90
語文別: 英文
論文頁數: 101
外文關鍵詞: fundus stereo images, reconstruction, retinal topography, glaucoma diagnosis
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    In diagnosing and monitoring optic nerve diseases such as glaucoma, an ophthalmologist often needs a stereoscopic view of the fundus to evaluate the damage of the optic disc. In this paper, we present an epipolar geometry evaluation method to perform a three-dimensional reconstruction of optic disc structure using a pair of
    stereo images. The 3D model reconstruction algorithm is written using VC++, and this system can alleviate the burden of the physicians for observing the significant topographic characteristics from optic disc.

    ABSTRACT ACKNOWLEDGMENT LIST OF FIGURES Chapter 1 INTRODUCTION 1 Chapter 2 OVERVIEW 8 2.1 What is glaucoma 8 2.1.1 Types of glaucoma 9 2.1.2 Diagnosing glaucoma 11 2.2 Instrument for ophthalmoscopy 14 2.2.1 Direct ophthalmoscope 15 2.2.2 Indirect ophthalmoscope 15 2.3 New Developments in disc imaging 16 Chapter 3 IMAGE PROCESSING 23 3.1 Conventional image processing-- static stereo 23 3.1.1 Image acquisition 24 3.1.2 Camera calibration 25 3.1.3 Rectification for stereo image pairs 32 3.1.4 Correspondence analysis 36 3.1.5 Triangulation 38 3.2 Stereoscopic images without camera calibration 41 3.2.1 Outline of the eight-point algorithm 42 3.2.2 Least squares problems 44 3.2.3 The singularity constraint 45 3.2.4 Solve F matrix in MATLAB 46 3.3 Reconstruction from two views 47 3.3.1 Computation of the fundamental matrix 47 3.3.2 Computation of the camera matrices 48 3.3.3 Linear triangulation methods 48 3.3.4 Metric reconstruction 49 Chapter 4 METHODOLOGY 53 4.1 Image acquisition 54 4.1.1 Image stored format 54 4.1.2 DIB structure class 56 4.1.3 RGB spaces normalization 62 4.2 Feature point extraction 62 4.3 Solution of fundamental matrix by MATLAB 64 4.4 Block-matching 64 4.5 Triangulation Ⅰ 66 4.6 Computation of camera matrix 67 4.7 Triangulation Ⅱ 68 4.8 Metric reconstruction 69 4.9 OpenGL display 70 Chapter 5 RESULTS 73 5.1 Estimation of the program accuracy 73 5.2 Experiments using ocular fundus images 76 5.2 Experiments using synthetic images 84 Chapter 6 DISCUSSION 92 Chapter 7 CONCLUSION 95 REFERENCE 96 Appendix A Solution of fundamental matrix, camera matrices and points in space 100

    [1] K.Yogesan, Barry, C. J., Jitskaia, L., Eikelboom, R. H., Morgan, W. H., House, P.
    H., and Saarloos, P. P. v., "Software for 3-D Visualization/Analysis of Optic-Disc
    Images," IEEE Engineering in Medicine and Biology, pp. 43~49, 1999.
    [2] Deguchi, K., Noami, J., and Hontani, H., "3D Fundus Pattern Reconstruction and
    Display from Multiple Fundus Images," Pattern Recognition, 2000. Proceedings.
    15th International Conference on, vol. 4, pp. 94 -97, 2000.
    [3] Ramirez, M., Mitra, S., Kher, A., and Morales, J., "3-D digital surface recovery
    of the optic nerve head from stereo fundus images," Computer-Based Medical
    Systems, 1992. Proceedings., Fifth Annual IEEE Symposium on, pp. 284 -291,
    1992.
    [4] Okutomi, M., Yoshizaki, O., and Tomita, G., "Color stereo matching and its
    application to 3-D measurement of optic nerve head," Pattern Recognition, 1992 .
    Vol.1. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR
    International Conference on, pp. 509 -513, 1992.
    [5] Mitra, S., Lee, D. J., and Krile, T. F., "3-D representation from time-sequenced
    biomedical images using 2-D cepstrum," Visualization in Biomedical Computing,
    1990., Proceedings of the First Conference on, pp. 401 -408, 1990.
    3D Surface Reconstruction from Fundus Stereo Images
    [6] Berger, J. W., Patel, T. R., Shin, D. S., Piltz, J. R., and Stone, R. A.,
    "Computerized Stereochronoscopy and Alternation Flicker to Detect Optic Nerve
    Head Contour Chang," The American Academy of Ophthalmology, vol. 107, pp.
    1316~1320, 2000.
    [7] Wunstel, M. and Schumann, H., "GlauCAD-Glaucoma Prevention by Computer
    Aided Diagnostics," Computer Graphik topics, 2001.
    [8] Weinreb, R. N., "Assessment of Optic Disc Topography for Diagnosing and
    Monitoring Glaucoma," Archives Ophthalmology, vol. 116, pp. 1229~1231,
    1998.
    [9] 洪伯廷, "青光眼的預防與保健," 1995.
    [10] Hodapp, E., Parrish, R. K., and Anderson, D. R., Clinical decisions in Glaucoma,
    1993.
    [11] Podos, S. M. and Yanoff, M., Glaucoma, vol. 7, 1994.
    [12] http://www.futureoptometrist.com/glaucoma1/.
    [13] Vaughan, D. and Asbury, T., General Ophthalmology, 1984.
    [14] Schuman, J. S., "Imaging in Glaucoma," In: Slack Incorporated, 1997, pp.
    Chapter 1.
    3D Surface Reconstruction from Fundus Stereo Images
    [15] Glenn, C., "New Developments In Disc Imaging," in Review of Ophtalmology,
    vol. 9, 2002.
    [16] OCT.http://www.humphrey.com.
    [17] HRT.http://www.heidelbergengineering.com.
    [18] GDx.http://laserdiagnostic.com.
    [19] RTA.http://www.talia.com.
    [20] Discam.http://www.marcher-discam.com.
    [21] Klette, R., Schluns, K., and Koschan, A., Computer Vision -- Three Dimensional
    Data from Images, 1998.
    [22] Tsai, R. Y., "A Versatile camera Calibration Technique for High-Accuracy 3D
    Machine Vision Metrology Using Off-the-Shelf TV Camera and Lenses," IEEE
    Journal of Robotics and Automation, vol. RA-3, pp. 323~344, 1987.
    [23] http://vasc.ri.cmu.edu/IUS/usrp2/rgw/www/faq.txt.
    [24] Papadimitriou, D. V. and Dennis, T. J., "Epipolar Line Estimation and
    Rectification for Stereo Image Pairs," IEEE Transactions on Image Processing,
    vol. 5, pp. 672~676, 1996.
    3D Surface Reconstruction from Fundus Stereo Images
    [25] Larabi, S., "Self-Matching of Stereoscopic Images Without Camera Calibration,"
    Image and Signal Processing and Analysis, 2001. ISPA 2001. Proceedings of the
    2nd International Symposium on , 2001, pp. 176 -181.
    [26] Hartley, R. I., "In Defense of the Eight-Point Algorithm," Pattern Analysis and
    Machine Intelligence, IEEE Transactions on, vol. 19, pp. 580 -593, 1997.
    [27] [1] R. Hartley, Multiple View Geometry in Computer Vision, 2001.
    [28] C.LAY, D., In Linear Algebra and Its Applications, 1996, pp. 367-485.
    [29] F, R.http://www.stanford.edu/class/cs223b/hw/stereo/hwz.html.
    [30] Association, N. E. M., "Digital Imaging and Communications in Medicine
    (DICOM)," 2001.
    [31] http://website.lineone.net/~magdynofal/glaucoma.htm.
    [32] "MSDN Library Visual Studio 6.0."
    [33] http://codeguru.earthweb.com/.

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