數(shù)字圖像相關(guān)方法若干關(guān)鍵問(wèn)題研究進(jìn)展
發(fā)布時(shí)間:2019-01-02 12:26
【摘要】:本文報(bào)道了作者及其所在課題組近期在數(shù)字圖像相關(guān)(DIC)測(cè)量方法上取得的重要研究進(jìn)展。主要包括:(1)通過(guò)對(duì)DIC方法中反向組合高斯-牛頓算法的理論誤差分析,提出了新的理論誤差公式,進(jìn)一步證明了反向組合高斯-牛頓算法在提高計(jì)算速度和測(cè)量精度方面的綜合優(yōu)勢(shì);(2)采用提出的理論誤差公式,發(fā)展了數(shù)字散斑場(chǎng)的優(yōu)化及制作方法,保證了測(cè)量結(jié)果的一致性和正確性;(3)基于相機(jī)陣列和圖像拼接技術(shù),發(fā)展了超分辨率數(shù)字圖像相關(guān)方法,大大提高了DIC測(cè)量方法的應(yīng)變測(cè)量分辨率;(4)提出了大視場(chǎng)條件下的三維系統(tǒng)標(biāo)定方法,實(shí)現(xiàn)了三維測(cè)量系統(tǒng)的外參實(shí)時(shí)標(biāo)定和多相機(jī)測(cè)量系統(tǒng)中相機(jī)位姿的自動(dòng)矯正;(5)研制了便攜式原位三維測(cè)量?jī)x和多尺度DIC測(cè)量系統(tǒng),實(shí)現(xiàn)了三維實(shí)時(shí)數(shù)字圖像相關(guān)測(cè)量,進(jìn)一步滿足了DIC方法在工業(yè)在線檢測(cè)和醫(yī)學(xué)領(lǐng)域中的應(yīng)用需求。
[Abstract]:In this paper, the author and his research group have made important progress in digital image correlation (DIC) measurement. The main contents are as follows: (1) by analyzing the theoretical error of the inverse combination Gao Si Newton algorithm in the DIC method, a new theoretical error formula is proposed. It is further proved that the inverse combination Gao Si Newton algorithm has a comprehensive advantage in improving the calculation speed and measuring accuracy. (2) the optimization and fabrication method of digital speckle field is developed by using the theoretical error formula, which ensures the consistency and correctness of the measurement results. (3) based on camera array and image splicing technology, the super-resolution digital image correlation method is developed, which greatly improves the strain measurement resolution of DIC measurement method. (4) the calibration method of 3D system under the condition of large field of view is proposed, which realizes the real-time calibration of external parameters of 3D measurement system and the automatic correction of camera position and posture in multi-camera measurement system. (5) A portable in-situ 3D measurement instrument and a multi-scale DIC measurement system are developed. The real-time 3D digital image correlation measurement is realized, which meets the needs of the application of DIC method in the field of industrial on-line detection and medicine.
【作者單位】: 東南大學(xué)工程力學(xué)系;江蘇省工程力學(xué)分析重點(diǎn)實(shí)驗(yàn)室;山東理工大學(xué)交通與車輛工程學(xué)院;東南大學(xué)電子電工實(shí)驗(yàn)中心;東南大學(xué)儀器科學(xué)與工程學(xué)院;
【基金】:國(guó)家自然科學(xué)基金資助項(xiàng)目(11272089,11327201,11532005,11602056) 國(guó)家科技支撐計(jì)劃(2014BAK11B04)資助
【分類號(hào)】:TP391.41
[Abstract]:In this paper, the author and his research group have made important progress in digital image correlation (DIC) measurement. The main contents are as follows: (1) by analyzing the theoretical error of the inverse combination Gao Si Newton algorithm in the DIC method, a new theoretical error formula is proposed. It is further proved that the inverse combination Gao Si Newton algorithm has a comprehensive advantage in improving the calculation speed and measuring accuracy. (2) the optimization and fabrication method of digital speckle field is developed by using the theoretical error formula, which ensures the consistency and correctness of the measurement results. (3) based on camera array and image splicing technology, the super-resolution digital image correlation method is developed, which greatly improves the strain measurement resolution of DIC measurement method. (4) the calibration method of 3D system under the condition of large field of view is proposed, which realizes the real-time calibration of external parameters of 3D measurement system and the automatic correction of camera position and posture in multi-camera measurement system. (5) A portable in-situ 3D measurement instrument and a multi-scale DIC measurement system are developed. The real-time 3D digital image correlation measurement is realized, which meets the needs of the application of DIC method in the field of industrial on-line detection and medicine.
【作者單位】: 東南大學(xué)工程力學(xué)系;江蘇省工程力學(xué)分析重點(diǎn)實(shí)驗(yàn)室;山東理工大學(xué)交通與車輛工程學(xué)院;東南大學(xué)電子電工實(shí)驗(yàn)中心;東南大學(xué)儀器科學(xué)與工程學(xué)院;
【基金】:國(guó)家自然科學(xué)基金資助項(xiàng)目(11272089,11327201,11532005,11602056) 國(guó)家科技支撐計(jì)劃(2014BAK11B04)資助
【分類號(hào)】:TP391.41
【相似文獻(xiàn)】
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1 王玨;;數(shù)字圖像質(zhì)量解析[J];美術(shù)大觀;2010年01期
2 王剛;;數(shù)字圖像的快速與科學(xué)識(shí)別研究[J];藝術(shù)與設(shè)計(jì)(理論);2012年12期
3 黃];楊h接,
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