结合自动聚焦系统的共线双脉冲激光诱导击穿光谱信号稳定性研究
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摘要
将基于图像清晰度评价函数的自动聚焦算法应用于共线双脉冲激光诱导击穿光谱(DP-LIBS),基于Lab VIEW编写的控制软件对共线DP-LIBS实验系统与CCD相机、三维移动平台进行有效控制,将图像清晰度评价、自动聚焦算法和三维移动平台相结合,实现了样品的自动聚焦功能。实验结果表明:两激光脉冲间隔的最优位置为0.55μs;原子谱线的稳定性高于离子谱线;采用自动聚焦系统后,光谱强度的相对标准偏差(RSD)从16.7%降低到6.7%,钢样中Cr元素和Mn元素定量分析的相关系数分别从0.851和0.639提高到0.947和0.923。自动聚焦系统能够提高信号的稳定性和测量精度。
In this paper,we apply the auto-focusing algorithm,which is based on the image sharpness evaluation function,to collinear double pulse laser-induced breakdown spectroscopy( DP-LIBS). Through the control software based on Lab VIEW,the collinear DP-LIBS experiment system,CCD camera and three-dimensional mobile platform are effectively controlled. Image sharpness evaluation, the auto-focusing algorithm, and the three-dimensional mobile platform are combined to achieve sample auto-focusing function. The results show that the optimal interval between the two lasers is 0.55 μs. The stability of the atomic spectral line is higher than that of the ion line. The relative standard deviation of the spectral strength decreases from 16. 7% to 6. 7%. The quantitative analysis of the steel samples shows that the correlation coefficients of Cr and Mn measurements increase from 0. 851 and 0. 639 to 0. 947 and 0. 923,respectively. Overall,the auto-focusing system can improve signal stability and measurement accuracy.
In this paper,we apply the auto-focusing algorithm,which is based on the image sharpness evaluation function,to collinear double pulse laser-induced breakdown spectroscopy( DP-LIBS). Through the control software based on Lab VIEW,the collinear DP-LIBS experiment system,CCD camera and three-dimensional mobile platform are effectively controlled. Image sharpness evaluation, the auto-focusing algorithm, and the three-dimensional mobile platform are combined to achieve sample auto-focusing function. The results show that the optimal interval between the two lasers is 0.55 μs. The stability of the atomic spectral line is higher than that of the ion line. The relative standard deviation of the spectral strength decreases from 16. 7% to 6. 7%. The quantitative analysis of the steel samples shows that the correlation coefficients of Cr and Mn measurements increase from 0. 851 and 0. 639 to 0. 947 and 0. 923,respectively. Overall,the auto-focusing system can improve signal stability and measurement accuracy.
引文
[1]Radziemski L J,Cremers D A.Handbook of laser induced breakdown spectroscopy[M].West Sussex:John Wiley&Sons,2006:1-4.
[2]Zhang L J,Zhuang Y F,Bian Y L.Determination of heavy metals in cultivated land using laser-induced breakdown spectroscopy[J].Laser&Optoelectronics Progress,2015,52(9):093003.张琳晶,庄云飞,卞雅兰.激光诱导击穿光谱法对产粮基地土壤中重金属元素含量检测[J].激光与光电子学进展,2015,52(9):093003.
[3]Yang X,Hao Z,Shen M,et al.Simultaneous determination of La,Ce,Pr,and Nd elements in aqueous solution using surface-enhanced laser-induced breakdown spectroscopy[J].Talanta,2017,163:127-131.
[4]Yang W B,Li B C,Han Y L,et al.Quantitative analysis of trace oxygen concentration in argon and nitrogen based on laser-induced breakdown spectroscopy[J].Chinese Journal of Lasers,2017,44(10):1011001.杨文斌,李斌成,韩艳玲,等.激光诱导击穿光谱技术定量分析氩气和氮气中的痕量氧含量[J].中国激光,2017,44(10):1011001.
[5]Melikechi N,Markushin Y,Connolly D C,et al.Agespecific discrimination of blood plasma samples of healthy and ovarian cancer prone mice using laserinduced breakdown spectroscopy[J].Spectrochimica Acta Part B,2016,123:33-41.
[6]de Vallejuelo S F-O,Gredilla A,Gomez-Nubla L,et al.Portable laser induced breakdown spectrometry to characterize the environmental impact of potentially hazardous elements of suspended particulate matter transported during a storm event in an urban river catchment[J].Microchemical Journal,2017,135:171-179.
[7]Sturm V,Meinhardt C,Fleige R,et al.Fast identification of steel bloom composition at a rolling mill by laser-induced breakdown spectroscopy[J].Spectrochimica Acta Part B,2017,136:66-72.
[8]Chen X L,Dong F Z,Tao G Q,et al.Fast lithology identification by laser-induced breakdown spectroscopy[J].Chinese Journal of Lasers,2013,40(12):1215001.陈兴龙,董凤忠,陶国强,等.激光诱导击穿光谱在地质录井岩性快速识别中的应用[J].中国激光,2013,40(12):1215001.
[9]Lefebvre C,Catalá-EspíA,Sobron P,et al.Depthresolved chemical mapping of rock coatings using laserinduced breakdown spectroscopy:implications for geochemical investigations on Mars[J].Planetary&Space Science,2016,126:24-33.
[10]Pan X J,Zhu Y P,Pan C,et al.Simulation analysis of auto focusing sharpness evaluation function for images based on gradient operator[J].Infrared Technology,2016,38(11):960-968.潘雪娟,朱尤攀,潘超,等.基于梯度计算的自动聚焦图像清晰度评价函数仿真分析[J].红外技术,2016,38(11):960-968.
[11]Zhu H Y,Xu G J,Li Y C,et al.Dynamic threshold selection of local region based on image partition[J].Computer and Modernization,2016(11):53-57.朱海洋,徐根玖,李元晨,等.基于图像分块的局部区域动态阈值选取方法[J].计算机与现代化,2016(11):53-57.
[12]Wang H,Huang Y Q.Smoothing and compression algorithm of triangular mesh models based on Laplacian[J].Computer Systems&Applications,2015,24(12):191-195.王卉,黄玉清.基于拉普拉斯算子的三角网格模型的平滑与压缩算法[J].计算机系统应用,2015,24(12):191-195.
[13]Wang Y,Wang D H.Implementation of fast auto-focus algorithm based on image definition[J].Computer Measurement&Control,2008,16(3):370-372.王勇,王典洪.基于图像清晰度的快速自动聚焦算法[J].计算机测量与控制,2008,16(3):370-372.
[14]Zhu K F,Jiang W,Wang D F,et al.New kind of clarity evaluation function of image[J].Infrared and Laser Engineering,2005,34(4):464-468.朱孔凤,姜威,王端芳,等.一种新的图像清晰度评价函数[J].红外与激光工程,2005,34(4):464-468.
[15]Zheng Y Z.Optimized mountain-climb searching in auto-focusing[J].Journal of Zhejiang University of Science and Techonolgy,2005,17(3):171-174.郑玉珍.自动对焦中的优化爬山搜索算法[J].浙江科技学院学报,2005,17(3):171-174.
[2]Zhang L J,Zhuang Y F,Bian Y L.Determination of heavy metals in cultivated land using laser-induced breakdown spectroscopy[J].Laser&Optoelectronics Progress,2015,52(9):093003.张琳晶,庄云飞,卞雅兰.激光诱导击穿光谱法对产粮基地土壤中重金属元素含量检测[J].激光与光电子学进展,2015,52(9):093003.
[3]Yang X,Hao Z,Shen M,et al.Simultaneous determination of La,Ce,Pr,and Nd elements in aqueous solution using surface-enhanced laser-induced breakdown spectroscopy[J].Talanta,2017,163:127-131.
[4]Yang W B,Li B C,Han Y L,et al.Quantitative analysis of trace oxygen concentration in argon and nitrogen based on laser-induced breakdown spectroscopy[J].Chinese Journal of Lasers,2017,44(10):1011001.杨文斌,李斌成,韩艳玲,等.激光诱导击穿光谱技术定量分析氩气和氮气中的痕量氧含量[J].中国激光,2017,44(10):1011001.
[5]Melikechi N,Markushin Y,Connolly D C,et al.Agespecific discrimination of blood plasma samples of healthy and ovarian cancer prone mice using laserinduced breakdown spectroscopy[J].Spectrochimica Acta Part B,2016,123:33-41.
[6]de Vallejuelo S F-O,Gredilla A,Gomez-Nubla L,et al.Portable laser induced breakdown spectrometry to characterize the environmental impact of potentially hazardous elements of suspended particulate matter transported during a storm event in an urban river catchment[J].Microchemical Journal,2017,135:171-179.
[7]Sturm V,Meinhardt C,Fleige R,et al.Fast identification of steel bloom composition at a rolling mill by laser-induced breakdown spectroscopy[J].Spectrochimica Acta Part B,2017,136:66-72.
[8]Chen X L,Dong F Z,Tao G Q,et al.Fast lithology identification by laser-induced breakdown spectroscopy[J].Chinese Journal of Lasers,2013,40(12):1215001.陈兴龙,董凤忠,陶国强,等.激光诱导击穿光谱在地质录井岩性快速识别中的应用[J].中国激光,2013,40(12):1215001.
[9]Lefebvre C,Catalá-EspíA,Sobron P,et al.Depthresolved chemical mapping of rock coatings using laserinduced breakdown spectroscopy:implications for geochemical investigations on Mars[J].Planetary&Space Science,2016,126:24-33.
[10]Pan X J,Zhu Y P,Pan C,et al.Simulation analysis of auto focusing sharpness evaluation function for images based on gradient operator[J].Infrared Technology,2016,38(11):960-968.潘雪娟,朱尤攀,潘超,等.基于梯度计算的自动聚焦图像清晰度评价函数仿真分析[J].红外技术,2016,38(11):960-968.
[11]Zhu H Y,Xu G J,Li Y C,et al.Dynamic threshold selection of local region based on image partition[J].Computer and Modernization,2016(11):53-57.朱海洋,徐根玖,李元晨,等.基于图像分块的局部区域动态阈值选取方法[J].计算机与现代化,2016(11):53-57.
[12]Wang H,Huang Y Q.Smoothing and compression algorithm of triangular mesh models based on Laplacian[J].Computer Systems&Applications,2015,24(12):191-195.王卉,黄玉清.基于拉普拉斯算子的三角网格模型的平滑与压缩算法[J].计算机系统应用,2015,24(12):191-195.
[13]Wang Y,Wang D H.Implementation of fast auto-focus algorithm based on image definition[J].Computer Measurement&Control,2008,16(3):370-372.王勇,王典洪.基于图像清晰度的快速自动聚焦算法[J].计算机测量与控制,2008,16(3):370-372.
[14]Zhu K F,Jiang W,Wang D F,et al.New kind of clarity evaluation function of image[J].Infrared and Laser Engineering,2005,34(4):464-468.朱孔凤,姜威,王端芳,等.一种新的图像清晰度评价函数[J].红外与激光工程,2005,34(4):464-468.
[15]Zheng Y Z.Optimized mountain-climb searching in auto-focusing[J].Journal of Zhejiang University of Science and Techonolgy,2005,17(3):171-174.郑玉珍.自动对焦中的优化爬山搜索算法[J].浙江科技学院学报,2005,17(3):171-174.