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采用整体最小二乘法的条纹图配准方法

穆治亚 艾华 樊孝贺 何昕 何丁龙 韩冬松 于国栋

穆治亚, 艾华, 樊孝贺, 何昕, 何丁龙, 韩冬松, 于国栋. 采用整体最小二乘法的条纹图配准方法[J]. 中国光学(中英文), 2016, 9(6): 625-632. doi: 10.3788/CO.20160906.0625
引用本文: 穆治亚, 艾华, 樊孝贺, 何昕, 何丁龙, 韩冬松, 于国栋. 采用整体最小二乘法的条纹图配准方法[J]. 中国光学(中英文), 2016, 9(6): 625-632. doi: 10.3788/CO.20160906.0625
MU Zhi-ya, AI Hua, FAN Xiao-he, HE Xin, HE Ding-long, HAN Dong-song, YU Guo-dong. Inference fringe image registration using total least square method[J]. Chinese Optics, 2016, 9(6): 625-632. doi: 10.3788/CO.20160906.0625
Citation: MU Zhi-ya, AI Hua, FAN Xiao-he, HE Xin, HE Ding-long, HAN Dong-song, YU Guo-dong. Inference fringe image registration using total least square method[J]. Chinese Optics, 2016, 9(6): 625-632. doi: 10.3788/CO.20160906.0625

采用整体最小二乘法的条纹图配准方法

doi: 10.3788/CO.20160906.0625
基金项目: 

吉林省自然科学基金资助项目 No.201115124

详细信息
    通讯作者:

    穆治亚(1985-),男,山西晋中人,博士,助理研究员,2009年于吉林大学获得学士学位,2014年于中国科学院大学获得博士学位,主要从事数字图像处理和红外多目标跟踪领域方面的研究。E-mail:muziya9@163.com

  • 中图分类号: TP391.4

Inference fringe image registration using total least square method

Funds: 

Supported by Jilin Provincial Natural Science Foundation of China No.201115124

More Information
  • 摘要: 针对共光路菲索型动态干涉仪采集到的4幅条纹图的空间一致性问题,本文提出一种新的条纹图配准思路,将条纹图与图像配准在关联度上人为分开,搭建了专用的图像配准装置,避免将条纹与十字丝标志点混在一幅图像内而影响干涉仪的测量精度。首先通过本文搭建的条纹图配准装置对4台CMOS相机进行物理配准,然后利用整体最小二乘法对采集到的同一十字丝刻划板图像进行十字丝提取、交点计算以及旋转量计算,实现共光路菲索型动态干涉仪条纹图像的点点对应。最后通过试验对比验证,证明了本文算法的配准精度优于模板重心法的配准结果,互相关度达到96%以上。

     

  • 图 1  干涉条纹配准结构三维图

    Figure 1.  3D picture of inference fringe registration structure

    图 2  调整前刻划板采集图

    Figure 2.  Collecting picture of depiction board before regulating depiction

    图 3  预处理结果及十字丝放大显示图

    Figure 3.  Result of pretreatment and the enlarged image of cross wire

    图 4  整体最小二乘法配准后刻划板图

    Figure 4.  Depiction board picture after registration using total least square

    图 5  按配准得到的公式变换后的条纹图

    Figure 5.  Fringe picture of transform using the registration result

    图 6  手动提取模板

    Figure 6.  Cyclostyle by manpower

    图 7  有效区域提取结果

    Figure 7.  Results collection of valid region

    图 8  重心法配准结果

    Figure 8.  Registration result of barycenter method

    表  1  整体最小二乘法得到配准结果

    Table  1.   Registration result using total least square

    图像序列十字丝中心点平移量直线斜率旋转量/(°)
    0相位(1 030,1 045) (6,21) 0.013 60.779 2
    180相位(1 016,1 021) (-8,-3) 0.001 30.074 5
    90相位(1 023,1 025) (-1,1) 0.000 80.045 8
    270相位(1 019,1 027) (-5,3) 0.001 10.063 0
    下载: 导出CSV

    表  2  互相关度计算结果

    Table  2.   Result of cross-correlation value

    相机标号配准前整体最小二乘法重心法
    (1,2) 0.150.960.83
    (1,3) 0.170.970.84
    (1,4) 0.140.970.82
    (2,3) 0.120.980.92
    (2,4) 0.100.960.91
    (3,4) 0.150.97 0.90
    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-06-01
  • 修回日期:  2016-08-15
  • 刊出日期:  2016-12-01

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