一種迭代的錐束計算機層析成像系統(tǒng)幾何全參數(shù)標(biāo)定方法
發(fā)布時間:2018-06-04 17:50
本文選題:成像系統(tǒng) + 幾何參數(shù)標(biāo)定。 參考:《光學(xué)學(xué)報》2017年08期
【摘要】:計算機層析成像(CL)系統(tǒng)對于扁平狀物體的檢測具有獨特的優(yōu)勢,幾何參數(shù)標(biāo)定是CL系統(tǒng)獲得高質(zhì)量圖像的重要步驟,F(xiàn)有CL系統(tǒng)幾何參數(shù)標(biāo)定方法僅能標(biāo)定部分幾何參數(shù),難以一次完成所有幾何參數(shù)的標(biāo)定。借鑒計算機斷層成像(CT)系統(tǒng)幾何參數(shù)標(biāo)定方法,提出了一種高精度的迭代標(biāo)定方法,利用簡單體?焖贅(biāo)定CL系統(tǒng)的所有幾何參數(shù)。對CT系統(tǒng)幾何參數(shù)標(biāo)定方法用于CL系統(tǒng)的有效性進行分析,確定對CT系統(tǒng)幾何參數(shù)標(biāo)定方法敏感的CL系統(tǒng)幾何參數(shù);根據(jù)CL系統(tǒng)投影幾何關(guān)系,構(gòu)建新的反映CL實際系統(tǒng)與理想系統(tǒng)間誤差的非線性最小二乘目標(biāo)函數(shù),利用迭代法不斷優(yōu)化敏感參數(shù)和其他關(guān)鍵參數(shù)。實驗結(jié)果表明,本文方法能夠有效標(biāo)定CL系統(tǒng)所有幾何參數(shù),敏感參數(shù)以及受敏感參數(shù)影響的其他幾何參數(shù)標(biāo)定精度均有明顯提升。利用已標(biāo)定的幾何參數(shù)重建三維Shepp-Logan體模和印刷電路板體模,重建圖像中沒有幾何偽影,驗證了算法的有效性。
[Abstract]:Computer tomography (CL) system has a unique advantage for the detection of flat objects. The calibration of geometric parameters is an important step for the CL system to obtain high quality images. The existing geometric parameter calibration method of the CL system can only calibrate some geometric parameters, and it is difficult to calibrate all the parameters at one time. The computer tomography (CT) system is used for reference. A high precision iterative calibration method is put forward to calibrate the geometric parameters of the CL system. The geometric parameter calibration method of the CT system is used to analyze the validity of the CL system, and the geometric parameters of the CL system which are sensitive to the calibration method of the geometric parameters of the CT system are determined, and the projection of the CL system is projected. A new nonlinear least square objective function which reflects the error between the CL system and the ideal system is constructed. The iterative method is used to optimize the sensitive parameters and other key parameters continuously. The experimental results show that the method can effectively calibrate all geometric parameters, sensitization parameters and other geometry affected by sensitive parameters of the CL system. The calibration accuracy of the parameters has been improved obviously. Using the calibrated geometric parameters to reconstruct the 3D Shepp-Logan body model and the printed circuit board model, there is no geometric artifact in the reconstructed image, and the validity of the algorithm is verified.
【作者單位】: 信息工程大學(xué)信息系統(tǒng)工程學(xué)院;
【基金】:國家自然科學(xué)基金(61372172,61601518)
【分類號】:TP391.41
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