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研究生: 梁佑誠
YU-CHENG LIANG
論文名稱: 運用卷積神經網路評估干涉條紋與 相位圖之像差係數
Evaluation the aberration coefficients of interference fringes and phase diagrams using convolutional neural network
指導教授: 黃忠偉
Jong-Woei Whang
陳怡永
Yi-Yung Chen
口試委員: 林瑞珠
Jui-Chu Lin
王孔政
Kung-Jeng Wang
林保宏
Pao-hung Lin
陳怡永
Yi-Yung Chen
學位類別: 碩士
Master
系所名稱: 電資學院 - 光電工程研究所
Graduate Institute of Electro-Optical Engineering
論文出版年: 2020
畢業學年度: 108
語文別: 中文
論文頁數: 56
中文關鍵詞: 干涉條紋Zernike多項式深度學習
外文關鍵詞: Interference fringes, Zernike polynomials, deep learning
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  • 中文摘要 I Abstract II 誌謝 III 目錄 IV 圖目錄 VI 表目錄 VIII 第 1 章 緒論 1 1-1 研究背景 1 1-2 研究動機 2 1-3 論文架構 3 第 2 章 光學理論和設定目標 4 2-1 像差量測 4 2-2 干涉原理和干涉架構 5 2-3 波前和相位 11 2-4 波前的Zernike 多項式 11 2-5 干涉條紋公式 13 2-6 干涉儀轉換方式 13 2-7 干涉條紋轉相位 14 2-8 Zernike 多項式擬合波前 19 第 3 章 神經網路 20 3-1 CNN網路(Convolutional Neural Networks) 20 3-2 卷積層(Convolutional Layer) 20 3-3 池化層(Pooling Layer) 22 3-4 攤平層(Flatten Layer) 23 3-5 全連接層(Fully Connected Layer)23 3-6 激活函數(Activation function) 25 3-7 損失函數(Loss function) 26 3-8 Inception 層 27 3-9 GoogleNet網路 27 第 4 章 網路訓練、實測和實驗 29 4-1 設計目標設定 29 4-2 神經網路的資料集 30 4-3 各種圖片所對應係數正負號 33 4-4 神經網路的訓練 34 4-5 模型的測試 35 4-6 模型的實作 37 第 5 章 實驗結果與討論 38 5-1 Zernike 係數預測(相位和干涉條紋) 38 第 6 章 結論與未來展望 41 6-1 結論 41 6-2 未來展望 41 參考資料 43

    [1] R. E. Fischer et al., Optical system design. Citeseer, 2000.
    [2] H. Jing, B. Fan, S. Wu, F. Wu, and T. Fan, "Measurement of optical surfaces with knife edge method," in 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 2008, vol. 6723, p. 67235L: International Society for Optics and Photonics.
    [3] J. Siv, R. Mayer, G. Beaugrand, G. Tison, R. Juvénal, and G. Dovillaire, "Testing and characterization of challenging optics and optical systems with Shack Hartmann wavefront sensors," in EPJ Web of Conferences, 2019, vol. 215, p. 06003: EDP Sciences.
    [4] K. Seong and J. E. J. A. O. Greivenkamp, "Chromatic aberration measurement for transmission interferometric testing," vol. 47, no. 35, pp. 6508-6511, 2008.
    [5] H. Guo, N. Korablinova, Q. Ren, and J. J. O. e. Bille, "Wavefront reconstruction with artificial neural networks," vol. 14, no. 14, pp. 6456-6462, 2006.
    [6] L. Hu, S. Hu, W. Gong, and K. J. O. E. Si, "Learning-based Shack-Hartmann wavefront sensor for high-order aberration detection," vol. 27, no. 23, pp. 33504-33517, 2019.
    [7] Q. Tian et al., "DNN-based aberration correction in a wavefront sensorless adaptive optics system," vol. 27, no. 8, pp. 10765-10776, 2019.
    [8] Y. Zhang, H. Xie, and Q. Dai, "Robust sensorless wavefront sensing via neural network in a single-shot," in Adaptive Optics and Wavefront Control for Biological Systems VI, 2020, vol. 11248, p. 112480E: International Society for Optics and Photonics.
    [9] Y. Nishizaki et al., "Deep learning wavefront sensing," vol. 27, no. 1, pp. 240-251, 2019.
    [10] K. Yan, Y. Yu, and L. Jiaxing, "Neural networks for interferograms recognition," in Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018), 2018, vol. 10827, p. 108273Q: International Society for Optics and Photonics.
    [11] M. Konnik and J. De Doná, "Waffle mode mitigation in adaptive optics systems: A constrained Receding Horizon Control approach," in 2013 American Control Conference, 2013, pp. 3390-3396: IEEE.
    [12] E. P. Goodwin and J. C. Wyant, "Field guide to interferometric optical testing," 2006: SPIE Bellingham, WA.
    [13] Y. LI, Y.-y. YANG, C. WANG, Y.-k. CHEN, and X.-y. J. C. O. CHEN, "Point diffraction in terference detection technology," vol. 10, no. 4, pp. 391-414, 2017.
    [14] V. Lakshminarayanan and A. J. J. o. M. O. Fleck, "Zernike polynomials: a guide," vol. 58, no. 7, pp. 545-561, 2011.
    [15] J. Schwiegerling, "Review of Zernike polynomials and their use in describing the impact of misalignment in optical systems," in Optical System Alignment, Tolerancing, and Verification XI, 2017, vol. 10377, p. 103770D: International Society for Optics and Photonics.
    [16] K. Yan, Y. Yu, C. Huang, L. Sui, K. Qian, and A. J. O. C. Asundi, "Fringe pattern denoising based on deep learning," vol. 437, pp. 148-152, 2019.
    [17] I. Gurov, M. J. O. Volynsky, and L. i. Engineering, "Interference fringe analysis based on recurrence computational algorithms," vol. 50, no. 4, pp. 514-521, 2012.
    [18] R. Shrestha, J. Park, W. J. I. P. Kim, and Technology, "Application of thermal wave imaging and phase shifting method for defect detection in Stainless steel," vol. 76, pp. 676-683, 2016.
    [19] S. J. O. Zhang and L. i. Engineering, "Composite phase-shifting algorithm for absolute phase measurement," vol. 50, no. 11, pp. 1538-1541, 2012.
    [20] G.-m. Dai and V. N. J. A. o. Mahajan, "Orthonormal polynomials in wavefront analysis: error analysis," vol. 47, no. 19, pp. 3433-3445, 2008.
    [21] B. J. a. p. a. Graham, "Fractional max-pooling," 2014.
    [22] B. Karlik, A. V. J. I. J. o. A. I. Olgac, and E. Systems, "Performance analysis of various activation functions in generalized MLP architectures of neural networks," vol. 1, no. 4, pp. 111-122, 2011.
    [23] C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna, "Rethinking the inception architecture for computer vision," in Proceedings of the IEEE conference on computer vision and pattern recognition, 2016, pp. 2818-2826.
    [24] P. Ballester and R. M. Araujo, "On the performance of GoogLeNet and AlexNet applied to sketches," in Thirtieth AAAI Conference on Artificial Intelligence, 2016.
    [25] D. Yu, H. Wang, P. Chen, and Z. Wei, "Mixed pooling for convolutional neural networks," in International conference on rough sets and knowledge technology, 2014, pp. 364-375: Springer.
    [26] B. Kimbrough, J. Millerd, J. Wyant, and J. Hayes, "Low-coherence vibration insensitive Fizeau interferometer," in Interferometry XIII: Techniques and Analysis, 2006, vol. 6292, p. 62920F: International Society for Optics and Photonics.

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    全文公開日期 2025/08/24 (國家圖書館:臺灣博碩士論文系統)
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