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[1] Chen Ping, Zhang Zhisheng, Dai Min, Chen Kai, et al. Sub-pixel extraction of laser stripe and its applicationin laser plane calibration [J]. Journal of Southeast University (English Edition), 2015, 31 (1): 107-112. [doi:10.3969/j.issn.1003-7985.2015.01.018]
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Sub-pixel extraction of laser stripe and its applicationin laser plane calibration()
亚像素级激光光条提取及其激光平面标定应用
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
31
Issue:
2015 1
Page:
107-112
Research Field:
Computer Science and Engineering
Publishing date:
2015-03-30

Info

Title:
Sub-pixel extraction of laser stripe and its applicationin laser plane calibration
亚像素级激光光条提取及其激光平面标定应用
Author(s):
Chen Ping Zhang Zhisheng Dai Min Chen Kai
School of Mechanical Engineering, Southeast University, Nanjing 211189, China
陈平 张志胜 戴敏 陈恺
东南大学机械工程学院, 南京 211189
Keywords:
sub-pixel extraction center line extraction laser plane calibration progressive probabilistic Hough transform(PPHT) principal component(PC)angle 2D Taylor expansion
亚像素提取 中心线提取 激光平面标定 渐进概率霍夫变换 主成分角 二维泰勒展式
PACS:
TP391.4;TN911.73
DOI:
10.3969/j.issn.1003-7985.2015.01.018
Abstract:
For calibrating the laser plane to implement 3D shape measurement, an algorithm for extracting the laser stripe with sub-pixel accuracy is proposed. The proposed algorithm mainly consists of two stages: two-side edge detection and center line extraction. First, the two-side edge of laser stripe is detected using the principal component angle-based progressive probabilistic Hough transform and its width is calculated through the distance between these two edges. Secondly, the center line of laser strip is extracted with 2D Taylor expansion at a sub-pixel level and the laser plane is calibrated with the 3D reconstructed coordinates from the extracted 2D sub-pixel ones. Experimental results demonstrate that the proposed method can not only extract the laser stripe at a high speed, nearly average 78 ms/frame, but also calibrate the coplanar laser stripes at a low error, limited to 0.3 mm. The proposed algorithm can satisfy the system requirement of two-side edge detection and center line extraction, and rapid speed, high precision, as well as strong anti-jamming.
为了标定激光平面以实现三维形貌测量, 提出一种亚像素级精度激光光条提取算法.该算法包括两侧边检测和中心线提取2个部分.首先, 利用基于主成分角的渐进概率霍夫变换检测2条侧边并依赖该两侧边的距离获取光条宽度; 然后, 应用二维泰勒展式提取具有亚像素级精度的光条中心线并依据重建的三维坐标标定激光平面.实验结果表明, 所提算法光条中心提取速度较快, 平均约为78 ms/帧, 光条平面共面误差较低, 限制在0.3 mm以内.因而所提算法能够满足提取光条的两侧边和中心线的需要, 且快速可靠、精度高和抗干扰能力强.

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Memo

Memo:
Biographies: Chen Ping(1987—), male, graduate; Zhang Zhisheng(corresponding author), male, doctor, professor, oldbc@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.50805023), the Science and Technology Support Program of Jiangsu Province(No.BE2008081), the Research and Innovation Project for College Graduates of Jiangsu Province(No.CXZZ13_0086), Scientific Research Foundation of Graduate School of Southeast University(No.YBJJ1401).
Citation: Chen Ping, Zhang Zhisheng, Dai Min, et al. Sub-pixel extraction of laser stripe and its application in laser plane calibration[J].Journal of Southeast University(English Edition), 2015, 31(1):107-112.[doi:10.3969/j.issn.1003-7985.2015.01.018]
Last Update: 2015-03-20