( 您好!臺灣時間:2021/05/17 21:53
字體大小: 字級放大   字級縮小   預設字形  


研究生(外文):Wen-Ru Chen
論文名稱(外文):A Method of Reconstructing Vascular Infrared Stereo Image by Using Dual Camera and Projector Tracking
指導教授(外文):Der-Chen Huang
口試委員(外文):Shao-Hui ShiehMiin-Shyue Shiau
外文關鍵詞:vein reprojection3D reconstructionstereo disparity
  • 被引用被引用:0
  • 點閱點閱:62
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0


Venipuncture is a common procedure in invasive medical. However, there are so many differences among each individual that may cause the variation of veins’ position. Mistakes are easily taken when healthcare workers try to inject some necessary medical cures. As a result, how to precisely locate veins on patients’ body becomes an important and difficult medical issue. We started to think about an alternative solution from technical views since we realize the problem.

In this research, we utilize the feature of hemoglobin that has higher absorption rate for infrared light source in specific wavelength. By using dual charge-coupled device (CCD) cameras to receive the reflected infrared from the target, this paper proposed a structure which reconstructs the three-dimensional coordinates of veins, and with the supports of projector we finally reproject the invisible veins onto tested personnel''s skin to assist vascular targeting for medical usage.

致謝辭 i
摘要 ii
Abstract iii
目錄 iv
圖目錄 vi
表目錄 vii
1 緒論 1
1.1 研究動機 1
1.2 研究目的 1
1.3 論文架構 2
2 相關研究 3
2.1 近紅外光照射血管之原理 3
2.2 影像處理 4
2.2.1 平均濾波(Mean Filtering) 4
2.2.2 直方圖均化(Histogram Equalization) 5
2.3 攝影機校正(Camera Calibration) 6
2.3.1 攝影機內部參數(Camera Intrinsic) 6
2.3.2 失真參數(Distortion Properties) 9
2.3.3 攝影機外部參數(Camera Extrinsic) 12
2.3.4 同質性座標(Homogeneous Coordinate) 14
2.3.5 攝影機校正與對應性矩陣 14
2.3.6 校正板 16
2.4 雙攝影機校正 18
2.4.1 立體校正(Stereo Calibration) 18
2.4.2 極線幾何(Epipolar Geometry) 19
2.4.3 立體對齊校正(Stereo Rectification) 22
2.5 投影機與攝影機校正(Projector-Camera Calibration) 24
2.6 視差圖擷取方法 26
2.6.1 計算像素相異程度分數表(Cost Volume) 26 SAD(Sum of absolute differences) 27 SSD(Sum of squared differences) 27
2.6.2 平滑度限制(Smoothness constraint)與濾波(Filtering) 27 樹狀濾波(Tree Filtering) 28
3 研究方法 31
3.1 照射光源波長 32
3.2 血管影像的前處理 34
3.3 計算視差圖 36
3.4 血管像素的三維座標還原 39
3.5 計算投影影像及追蹤投影 41
4 實驗結果 42
4.1 實驗之軟硬體環境 42
4.1.1 電荷耦合元件攝相機 43
4.1.2 投影機 43
4.1.3 940nm左右光源 44
4.2 血管光源實驗 44
4.3 攝影機校正 46
4.4 投影機與攝影機校正(Projector and Camera Calibration) 49
4.5 擷取血管影像及追蹤投影 52
5 結論及未來展望 56
參考文獻 57

[1]D. Scharstein and R. Szeliski, "A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms," International Journal of Computer Vision, vol. 47, no. 1-3, pp. 7–42, 2002.
[2]Rajesh Garg, Bhawna Mittal, Sheetal Garg, "Histogram Equalization Technique for Image Enhancement," International Journal of Electronics and Communication Technology, vol. 2, no 1, March 2011.
[3]Bradski, Gary R., and Adrian Kaehler. "Learning OpenCV: Computer Vision with the OpenCV Library," Sebastopol, CA: O''Reilly, 2008.
[4]Zhang, Z, "A Flexible New Technique for Camera Calibration," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, no 11, pp. 1330–1334, 2000.
[5]D. C. Brown, "Decentering Distortion of Lenses,” Photometric Engineering vol. 32, no. 3, pp. 444-462, 1966.
[6]Wikipedia, "Epipolar Geometry," https://en.wikipedia.org/wiki/Epipolar_geometry
[7]Zhang, Z, "Determining the Epipolar Geometry and its Uncertainty: A review," International Journal of Computer Vision, vol. 27, no. 2, pp.161–195, 1998.
[8]Loop, C. and Zhang, Z, "Computing Rectifying Homographies for Stereo Vision," Computer Vision and Pattern Recognition, vol. 1, pp. 125–131, 1999.
[9]Moreno, D.; Taubin, G, "Simple, Accurate, and Robust Projector-Camera Calibration," Processing of the 2nd International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission, pp. 464–471, October 2012.
[10]M. Chowdhury, M. A. Bhuiyan, "Fast Window based Stereo Matching for 3D Scene Reconstruction," The International Arab Journal of Information Technology, vol. 10, no. 3, pp. 209-214, 2013.
[11]Q. Yang, "A Non-Local Cost Aggregation Method for Stereo Matching," Computer Vision and Pattern Recognition, pp.1402–1409, 2012.
[12]A. Hosni, C. Rhemann, M. Bleyer, C. Rother and M. Gelautz, "Fast Cost-Volume Filtering for Visual Correspondence and Beyond," IEEE Trans. Pattern Anal. Mach. Intel., vol. 35, no. 2, pp. 504-511, 2013.
[13]M. Li , M. Biswas , S. Kumar and T. Nguyen, "DCT-Based Phase Correlation Motion Estimatio," Proc. Int. Conf. Image Process, vol. 1, pp. 445-448, 2004.
[14]K. He, J. Sun, and X. Tang, "Guided Image Filtering," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 6, pp. 1397 - 1409, 2013.
[15]C. Tomasi and R. Manduchi, "Bilateral Filtering for Gray and Color Images," Proc. Sixth Int, l Conf. Computer Vision, pp. 839-846, Jan, 1998.
[16]T. Matsui, "The Minimum Spanning Tree Problem on a Planar Graph," Discrete Applied Mathematics, pp.91–94, 1995.

第一頁 上一頁 下一頁 最後一頁 top