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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/61454


    Title: A Similarity-Guided Spots Sorting Method to Increase the Dynamic Range of a Shack Hartmann Sensor
    Authors: 潘淑芳;Fan,Phua Soo
    Contributors: 光電科學與工程學系
    Keywords: 波前量測;波前重建;動態範圍;Shack Hartmann;Spots Assignment;Dynamic Range;Spots Sorting;Quality Guided
    Date: 2013-08-16
    Issue Date: 2013-10-08 15:12:38 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 在Shack-Hartmann 波前感應器的資料處理中,正確地把光點分配到各個微透鏡是非常重要的。傳統的分配算法的限制斑點的量轉移到微透鏡的直徑的一半,從而限制了Shack Hartmann感應器的動態範圍。

    這項工作提出了擴展的動態範圍的Shack-Hartmann波前感應器的質量引導演算法。該算法提供了高動態範圍,並且準確度不受局部缺陷及光點遺失的影響。

    該演算法經由模擬的Shack-Hartmann點和實驗獲得的Shack-Hartmann點做測試,並與現有的演算法相比。我們對模擬結果和實際情況的數據進行了分析,並對它們之間的差異進行了討論。
    Assignment of spots to the correct lenslet is critically important to a Shack Hartmann wavefront sensor. Conventional assignment-algorithm limits the amount of spots shift to be half the lenslet diameter, thereby limiting the dynamic range of the sensor.

    This work presents a quality-guided algorithm to extend the dynamic range of a Shack-Hartmann wavefront sensor. The proposed algorithm offers a high dynamic range and excellent robustness.

    The algorithm is tested on both simulated Shack-Hartmann spots and experimentally captured Shack-Hartmann spots.. The performance of the proposed algorithm is compared with existing algorithms. Results from simulation and from real-case data are analyzed. Any discrepancies are discussed.
    Appears in Collections:[Graduate Institute of Optics and Photonics] Electronic Thesis & Dissertation

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