Volume 9 Issue 6
Nov.  2016
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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

Inference fringe image registration using total least square method

doi: 10.3788/CO.20160906.0625
Funds:

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

More Information
  • Corresponding author: E-mail:muziya9@163.com
  • Received Date: 01 Jun 2016
  • Rev Recd Date: 15 Aug 2016
  • Publish Date: 01 Dec 2016
  • To solve the space coherence of four inference fringe images by dynamic interferometer with common light paths, we propose a new notion of inference fringe image registration. We detach the conjunction between the inference fringe image and the image registration, and erect the equipment for inference fringe image registration, avoiding the confusion between the inference fringe and the cross wire which can influence the measure precision of dynamic interferometer. First, we realize the physical registration of four CMOS cameras using the equipment for inference fringe image registration. Then, we go along the image registration for the four cross wire images of the depict board by cross wire extraction, intersection point caculation and rotution amount caculation using total least square method, and realize the parallelism between the pix and pix of the dynamic interferometer with common light paths. Last, experimental results show that the proposed registration algorithm can improve the accuracy of registration, which is superior to that of the method of bary center. The method proposed in this paper can achieve the cross-correlation value of over 96%.

     

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