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姓名 蕭雅云(Ya-Yun Hsiao) 查詢紙本館藏 畢業系所 光電科學與工程學系 論文名稱 影像感測器雜訊對哈特曼光點質心計算影響 相關論文 檔案 [Endnote RIS 格式] [Bibtex 格式] [相關文章] [文章引用] [完整記錄] [館藏目錄] 至系統瀏覽論文 (2027-8-1以後開放) 摘要(中) 隨著科技進步,光學檢測技術不斷優化,逐漸提升精確度及準確度,而自適應光學技術的發展,使波前檢測器在光學系統中的應用更廣泛,有效提高系統的性能和穩定性,是一項關鍵的技術,與干涉儀同為重要的光學檢測工具。波前檢測器的雜訊會降低質心計算的重複性,進而影響最終量測結果的精確性。
本論文將探討雜訊對波前檢測器質心計算的準確度,評估不同尺寸的光點對質心位置重複性的影響,透過模擬感測器偵測之光點,並加入隨機雜訊進行質心運算,欲求出最佳計算結果之光點大小,以設計出符合此光點大小之波前檢測器架構;使用波長較短的藍光雷射實際量測,計算質心位置重複性,並調整微透鏡陣列與偵測器的間距以改變光點尺寸,比較不同光源下的實驗結果和模擬結果,進而優化波前檢測器之性能。摘要(英) With the advancement of technology, optical detection techniques are continuously optimized, gradually enhancing accuracy and precision. The development of adaptive optics technology has broadened the applications of wavefront sensors in optical systems, effectively improving system performance and stability. Noise in wavefront sensors can reduce the repeatability of centroid calculations, thereby affecting the accuracy of the final measurement results.
This paper will investigate the impact of noise on the accuracy of centroid calculation in Shack-Hartmann wavefront detectors. It aims to assess the influence of different sizes of the spot on the repeatability of centroid positions. Through simulations of detected spots with added random noise for centroid computation, it seeks to determine the optimal size of the spot for achieving the most accurate calculation results, thus designing a wavefront detector architecture tailored to this spot size. Actual measurements will be conducted using a shorter wavelength blue laser to calculate centroid position repeatability. Adjustments to the spacing between microlens arrays and detectors will be made to alter the size of the spot. Finally, experimental results under different light sources will be compared with simulation results to optimize the performance of the wavefront detector.關鍵字(中) ★ 影像感測器 關鍵字(英) 論文目次 摘要 ii
Abstract iii
致謝 iv
目錄 v
圖目錄 vii
表目錄 xi
一、 緒論 1
1-1 研究背景 1
1-2 文獻回顧 2
1-3 研究動機 3
二、 原理 4
2-1 Shack – Hartmann波前檢測器 4
2-1-1 量測原理 4
2-1-2 點指派(Spot Assignment)演算法 5
2-1-3 光點質心計算法 6
2-2 像差理論 7
2-3 艾里斑 9
2-4 雜訊模型 11
2-5 Monte-Carlo模擬 13
三、 實驗模擬 14
3-1 光點模擬 14
3-1-1 單一透鏡光點 14
3-1-2 雜訊分布 15
3-2 質心計算 21
四、 實驗與分析 28
4-1 實驗架構 28
4-2 量測結果 30
4-2-1 改變入射角 39
4-3 結果比較 44
五、 結論 53
參考文獻 54參考文獻 [1] Li, C., et al., "Optimization for high precision Shack–Hartmann wavefront sensor.", Optics Communications, 282(22), 4333-4338, 2009.
[2] Jiang, Z., et al. "Monte-Carlo analysis of centroid detected accuracy for wavefront sensor.", Optics & Laser Technology, 37(7), 541-546, 2005.
[3] Li, H., et al., "Accuracy analysis of centroid calculated by a modified center detection algorithm for Shack–Hartmann wavefront sensor.", Optics Communications, 281(4): 750-755, 2008.
[4] R Irwan , R. G. L.,"Analysis of optimal centroid estimation applied to Shack-Hartmann sensing.", Optica, Vol. 38, No. 32, 1999.
[5] D. a. I. G. Malacara-Doblado, Hartmann, "Hartmann-Shack, and other screen tests. Optical Shop Testing", pp. 361-397, 2007.
[6] B. Platt and R. V. Shack, "History and principles of Shack-Hartmann 66 wavefront sensing", Journal of refractive surgery, vol. 17 5, pp. S573-7, 2001.
[7] Groening, S., et al., "Wave-front reconstruction with a Shack–Hartmann sensor with an iterative spline fitting method". Applied optics. 39(4), p. 561-567, 2000.
[8] 潘淑芳, "A Similarity-Guided Spots Sorting Method to Increase the Dynamic Range of a Shack Hartmann Sensor", 國立中央大學,碩士論文, 民國 102 年。
[9] Wenhan Jiang, et al., “Detection error of Shack-Hartmann wavefront sensors”, SPIE, Adaptive Optics and Applications, 17 October 1997.
[10] Wikipedia, ”Airy disk”, retrieved
https://en.wikipedia.org/wiki/Airy_disk
[11] Onsemi, NOIP1SN025KA/D − Rev. 5, p.6, January, 2022.
[12] Teledyne Photometrics, “Signal-to-Noise Ratio”, retrieved
https://www.photometrics.com/learn/imaging-topics/signal-to-noise-ratio
[13] Tehrani, K. F., et al., “Multi-color quantum dot stochastic optical reconstruction microscopy (qSTORM)”, SPIE, Vol. 9331, 2015.指導教授 梁肇文(Chao-Wen Liang) 審核日期 2024-8-8 推文 facebook plurk twitter funp google live udn HD myshare reddit netvibes friend youpush delicious baidu 網路書籤 Google bookmarks del.icio.us hemidemi myshare