基于高斯-洛伦兹分峰拟合的线结构光条中心的提取方法
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摘要
研究了一种适用于不同类型光条图像的光条中心提取方法。构建了光条的截面能量模型,分析了不同成像质量光条的截面能量组成,构建了高斯-洛伦兹分峰拟合模型;基于所构建模型,依次对光条图像进行灰度归一化、感兴趣区域提取、高斯-洛伦兹分峰拟合、去洛伦兹分量处理,利用灰度重心法提取出精确的光条中心。对比实验结果表明,本文方法对不同类型光条图像的提取具有适用性强、精确度高,但耗时长的特点;然而对强漫反射和镜面反射光条的提取耗时仅为当前效果最好Steger法的1/2。
A light stripe center extraction algorithm is proposed based on Gauss-Lorenz peak fitting,which is suitable for different types of light stripe images.The cross-sectional energy model of a light stripe is built and the cross-sectional energy compositions of light stripes with different image qualities are analyzed,thus the GaussLorenz decomposition fitting model is constructed.Based on the constructed model,the successive gray normalization,extraction of regions of interest,Gauss-Lorenz decomposition peak fitting and removal of Lorentzian components are acted on the light stripe images.The accurate light stripe center can be extracted with the gray centroid method.The contrast experimental results show that the proposed method has the characteristics of high extraction accuracy,strong applicability,but long time-consumption for different types of light stripe images.However,if it is applied to strong diffuse reflection and specular reflection light stipes,its time consumption is only half of that of Steger algorithm with the best effect at present.
A light stripe center extraction algorithm is proposed based on Gauss-Lorenz peak fitting,which is suitable for different types of light stripe images.The cross-sectional energy model of a light stripe is built and the cross-sectional energy compositions of light stripes with different image qualities are analyzed,thus the GaussLorenz decomposition fitting model is constructed.Based on the constructed model,the successive gray normalization,extraction of regions of interest,Gauss-Lorenz decomposition peak fitting and removal of Lorentzian components are acted on the light stripe images.The accurate light stripe center can be extracted with the gray centroid method.The contrast experimental results show that the proposed method has the characteristics of high extraction accuracy,strong applicability,but long time-consumption for different types of light stripe images.However,if it is applied to strong diffuse reflection and specular reflection light stipes,its time consumption is only half of that of Steger algorithm with the best effect at present.
引文
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[19]Grabovskis A,Marcinkevics Z,Rubins U,et al.Two-stage multi-Gaussian fitting of conduit artery photoplethysmography waveform during induced unilateral hemodynamic events[J].Journal of Biomedical Optics,2015,20(3):035001.
[20]Sha C S,Hou J,Cui H X.A robust 2D Otsu′s thresholding method in image segmentation[J].Journal of Visual Communication and Image Representation,2016,41:339-351.
[21]Xu J Z.Research on methods and evaluation of stripe center extraction in structured light 3D measurement[D].Nanjing:Nanjing University,2012:45-59.徐静珠.结构光三维测量中光条中心提取方法及其评价的研究[D].南京:南京大学,2012:45-59.
[22]Wang S,Xu J Z,Zhang Y X,et al.Reliability evaluation method and application for light-stripecenter extraction[J].Acta Optica Sinica,2011,31(11):1115001.王顺,徐静珠,张益昕,等.结构光光条中心点信度评价方法与应用[J].光学学报,2011,31(11):1115001.
[2]Zhang H M,Yang X C,Chen G G.3Dreconstruction of parts to be processed by laser remanufacturing robot[J].Chinese Journal of Lasers,2010,37(11):2937-2944.张海明,杨洗陈,陈高贵.激光再制造机器人待加工零件形貌三维重建[J].中国激光,2010,37(11):2937-2944.
[3]Li W,Sun Z,Hao X,et al.Measuring method for asphalt pavement texture depth based on structuredlight technology[J].Advances in Transportation Studies,2015,36:75-84.
[4]Zhan D,Yu L,Xiao J,et al.Multi-camera and structured-light vision system(MSVS)for dynamic high-accuracy 3D measurements of railway tunnels[J].Sensors,2015,15(4):8664-8684.
[5]Xie Z X,Zhang A Q.Simultaneous calibration of the intrinsic and extrinsic parameters of ultra-large-scale line structured-light sensor[J].Acta Optica Sinica,2018,38(3):0315001.解则晓,张安祺.超大尺度线结构光传感器内外参数同时标定[J].光学学报,2018,38(3):0315001.
[6]Zhong K,Li Z W,Zhou X H,et al.Enhanced phase measurement profilometry for industrial 3Dinspection automation[J].The International Journal of Advanced Manufacturing Technology,2015,76(9/10/11/12):1563-1574.
[7]Jia Q Q,Wang B X,Luo X Z.Extraction of central positions of light stripe in sub-pixel in 3D surface measurement based on light sectioning method[J].Optics and Precision Engineering,2010,18(2):390-396.贾倩倩,王伯雄,罗秀芝.光切法形貌测量中光条中心的亚像素提取[J].光学精密工程,2010,18(2):390-396.
[8]Usamentiaga R,Molleda J,García D F.Fast and robust laser stripe extraction for 3Dreconstruction in industrial environments[J].Machine Vision and Applications,2012,23(1):179-196.
[9]Jiang Y F,Jiang K Y,Lin J Y.Extrication method for sub-pixel center of linear structured light stripe[J].Laser&Optoelectronics Progress,2015,52(7):071502.江永付,江开勇,林俊义.线结构光光条中心亚像素精确提取方法[J].激光与光电子学进展,2015,52(7):071502.
[10]Li F J,Li X J,Liu Z.A multi-scale analysis based method for extracting coordinates of laser light stripe centers[J].Acta Optica Sinica,2014,34(11):1110002.李凤娇,李小菁,刘震.基于多尺度分析的激光光条中心点坐标提取方法[J].光学学报,2014,34(11):1110002.
[11]Liu Z,Li S,Feng C.Laser stripe center extraction based on cross-correlation algorithm[J].Chinese Journal of Lasers,2013,40(5):0508004.刘振,李声,冯常.基于互相关算法的激光条纹中心提取[J].中国激光,2013,40(5):0508004.
[12]Wang Z H,Zhang Z W.Adaptive direction template method to extract the center of structured light[J].Laser Journal,2017,38(1):60-64.王泽浩,张中炜.自适应方向模板线结构光条纹中心提取方法[J].激光杂志,2017,38(1):60-64.
[13]He L Y,Wu S S,Wu C Y.Robust laser stripe extraction for three-dimensional reconstruction based on a cross-structured light sensor[J].Applied Optics,2017,56(4):823-832.
[14]Wang Y,Jiang S S.Extracting center pixel coordinates from human body laser stripe image with Bezier curve fitting method[J].Journal of Fiber Bioengineering and Informatics,2015,8(3):575-584.
[15]Cai H Y,Feng Z D,Huang Z H.Centerline extraction of structured light stripe based on principal component analysis[J].Chinese Journal of Lasers,2015,42(3):0308006.蔡怀宇,冯召东,黄战华.基于主成分分析的结构光条纹中心提取方法[J].中国激光,2015,42(3):0308006.
[16]Li TT,Yang F,Li C,et al.Exposure time optimization for line structured light sensor based on light stripe reliability evaluation[J].Acta Optica Sinica,2018,38(1):0112005.李涛涛,杨峰,李策,等.基于光条信度评价的线结构光传感器曝光时间优化[J].光学学报,2018,38(1):0112005.
[17]Li Y,Xu Y,Zhao X M,et al.Multispectral image segmentation by fuzzy clustering algorithm used Gaussian mixture model[J].Optics and Precision Engineering,2017,25(2):509-518.李玉,徐艳,赵雪梅,等.利用高斯混合模型的多光谱图像模糊聚类分割[J].光学精密工程,2017,25(2):509-518.
[18]Wang H,Zhao J,Zhao J W,et al.Ultra-precision position detection for linear motor mover based on multi-peak fitting[J].Chinese Journal of Scientific Instrument,2017,38(4):935-945.王辉,赵静,赵吉文,等.基于多峰拟合的直线电机动子位置精密测量方法[J].仪器仪表学报,2017,38(4):935-945.
[19]Grabovskis A,Marcinkevics Z,Rubins U,et al.Two-stage multi-Gaussian fitting of conduit artery photoplethysmography waveform during induced unilateral hemodynamic events[J].Journal of Biomedical Optics,2015,20(3):035001.
[20]Sha C S,Hou J,Cui H X.A robust 2D Otsu′s thresholding method in image segmentation[J].Journal of Visual Communication and Image Representation,2016,41:339-351.
[21]Xu J Z.Research on methods and evaluation of stripe center extraction in structured light 3D measurement[D].Nanjing:Nanjing University,2012:45-59.徐静珠.结构光三维测量中光条中心提取方法及其评价的研究[D].南京:南京大学,2012:45-59.
[22]Wang S,Xu J Z,Zhang Y X,et al.Reliability evaluation method and application for light-stripecenter extraction[J].Acta Optica Sinica,2011,31(11):1115001.王顺,徐静珠,张益昕,等.结构光光条中心点信度评价方法与应用[J].光学学报,2011,31(11):1115001.