一种激光散斑光条中心提取方法
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摘要
现有的激光光条中心提取方法中,无法很好解决散斑激光条中心的提取问题。对这种激光散斑图像建立光强分布模型,通过分析提出一种基于自适应对比度增强改善算法的图像增加方法和光条中心提取方法。该方法根据原始图像先验部分和激光投影模型对高频增益系数进行计算,对图像中光斑部分进行图像增强操作,并对增强后图像出现的断点进行处理。基于Steger算法提取增强后图像的激光光条中心坐标,并利用直线光条在平面成像的线性特征,将光条中心点到先验直线的平均距离作为光条中心提取精度的评价标准。通过实验验证该方法的有效性。
In the existing methods of extracting laser stripe centers,the problem of extracting speckle laser stripe centers cannot be solved very well. In this paper,the intensity distribution model of this laser speckle image was established. Through analysis,an image adding method and a strip center extraction method based on adaptive contrast enhancement algorithm was proposed. The method calculated the high frequency gain coefficient based on the priori part of the original image and the laser projection model,performed image enhancement on the spot part of the image,and processed the breakpoints appearing in the enhanced image. Based on Steger algorithm,the center coordinates of laser stripes were extracted from the enhanced image,and the average distance between the center points of the stripes and the priori lines was used as the evaluation criterion of the accuracy of the stripe center extraction by utilizing the linear characteristics of the straight stripes in plane imaging. The validity of this method was verified by experiments.
In the existing methods of extracting laser stripe centers,the problem of extracting speckle laser stripe centers cannot be solved very well. In this paper,the intensity distribution model of this laser speckle image was established. Through analysis,an image adding method and a strip center extraction method based on adaptive contrast enhancement algorithm was proposed. The method calculated the high frequency gain coefficient based on the priori part of the original image and the laser projection model,performed image enhancement on the spot part of the image,and processed the breakpoints appearing in the enhanced image. Based on Steger algorithm,the center coordinates of laser stripes were extracted from the enhanced image,and the average distance between the center points of the stripes and the priori lines was used as the evaluation criterion of the accuracy of the stripe center extraction by utilizing the linear characteristics of the straight stripes in plane imaging. The validity of this method was verified by experiments.
引文
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[2]许丽,张之江.结构光测量系统的误差传递分析[J].光学精密工程,2009,17(2):306-313.
[3]韩建栋,吕乃光,董明利.线结构光传感系统的快速标定方法[J].光学精密工程,2009,17(5):949-963.
[4]陈天飞,马孜,吴翔.基于主动视觉标定线结构光传感器中的光平面[J].光学精密工程,2012,20(2):256-263.
[5]魏振忠,张广军,徐园.一种线结构光视觉传感器标定方法[J].机械工程学报,2005,41(2):210-214.
[6]Yu Y,Li J,Jia F,et al.Three-dimensional object matching in mobile laser scanning point clouds[J].IEEE Geoscience and Remote Sensing Letters,2014,12(3):492-496.
[7]张瑞瑛,周萍,冯煦,等.大视场下线结构光光条中心快速提取[J].应用光学,2010,31(3):432-436.
[8]孙军华,王恒,刘震,等,钢轨磨耗动态测量中激光光条中心的快速提取[J].光学精密工程,2011,19(3):690-696.
[9]刘巍,张驰,刘阳,等,高斯混合分布激光中心线提取方法[J].激光与红外,2015,11(45):1397-1402.
[10]李云鹏,田庆国,张翔宇.线激光人体三维扫描仪多传感器同步标定方法[J].中国激光,2013,40(10):215-221.
[11]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):197-202.
[12]徐美芳,丁俊文,王冠军,等.角度多样性激光散斑抑制方法的比较[J].红外与激光工程,2017,46(8):68-73.
[13]Wang C,Ye Z.Brightness preserving histogram equaliza-tion with maximum entropy:A variational perspective[J].IEEETransactions on Consumer Electronics,2005,51(4):1326-1334.
[14]Jafar I,Ying H.Image contrast enhancement by con-strained variational histogram equalization[C]//Proceedings of the International Conference on Electro/Information Technology,2007:120-125.
[15]Yeganeh H,Ziaei A,Rezaie A.A novel approach for con-trast enhancement based on histogram equalization[C]//Proceedings of the International Conference on Computer and Communication Engineering,2008:256-260.
[16]Kim Y T.Contrast enhancement using brightness preserving bi-histogram equalization[J].IEEE Transactions on Consumer Electronics,1997,43(1):1-8.
[17]Wang Y,Chen Q,Zhang B.Image enhancement based on equal area dualistic sub-image histogram equalization method[J].IEEE Transactions on Consumer Electronics,1999,45(1):68-75.
[18]Chen S D,Ramli A R.Contrast enhancement using recur-sive mean-separate histogram equalization for scalable brightness preservation[J].IEEE Transactions on Consumer Electronics,2003,49(4):1301-1309.
[19]Sire K S,Tso C P,Tan Y Y.Reeursive sub-image histo-gram equalization applied to gray scale images[J].Pat-tern Recognition Letters,2007,28(10):1209-1221.
[20]江巨浪,张佑生,薛峰,等.保持图像亮度的局部直方图均衡算法[J].电子学报,2006,34(5):861-866.
[21]吕宗伟.基于亮度保持的子图像加权对比度增强[J].电子学报,2013(2):281-287.
[22]白可,贺锋涛,张敏,等.基于灰度共生矩阵的激光散斑评价方法[J].激光技术,2016,40(4):479-482.
[23]Xi J H,Bao H,Li T.Research on the algorithm of noisy laser stripe center extraction[C]//The 30th Chinese Control and Decision Conference(2018 CCDC).IEEE,2018:6297-6300.