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研究生:鄭小玲
研究生(外文):Sio-Leng Cheang
論文名稱(外文):3D surface reconstruction from fundus stereo images
指導教授:謝孟達謝孟達引用關係
指導教授(外文):Meng-Dar Shieh
學位類別:碩士
校院名稱:國立成功大學
系所名稱:工業設計學系碩博士班
學門:設計學門
學類:產品設計學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:英文
論文頁數:101
外文關鍵詞:fundus stereo imagesreconstructionretinal topographyglaucoma diagnosis
相關次數:
  • 被引用被引用:2
  • 點閱點閱:785
  • 評分評分:
  • 下載下載:137
  • 收藏至我的研究室書目清單書目收藏:1
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
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