Optics and Precision Engineering, Volume. 24, Issue 7, 1582(2016)

Extraction of laser stripe centers based on equal matching points for binocular vision measurement

JIA Zhen-yuan*... FAN Chao-nan, LIU Wei, YANG Jing-hao and XU Peng-tao |Show fewer author(s)
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    In order to extract laser stripe centers accurately and quickly and provide more suitable extraction results for binocular vision measurement of feature dimension, a laser stripe center extraction method with equivalent matching point was proposed. The gray centroid method was employed to extract central points of laser stripe, to calculate gray-gradient directions and to determine boundaries of laser stripe. Then coarse extraction results of laser stripe in the left and right images were used to determine reference laser stripe, with which the interpolation of corresponding laser stripe in another image was conducted. The laser stripes were extracted again based on gray-gradient directions and interpolation results and then sub pixel center coordinate with equivalent matching point was gained. Afterwards, the central point extraction results of the laser stripe were used to reconstruct surface feature information of ceramic plate, metal plate and forge piece on processing site. Experimental results show that, matching ratio for extraction of laser stripe centers of ceramic plate and metal plate with this method reaches 99.887% and 98.276% respectively as well as relative error for reconstruction of width is 0.638% and 0.488% respectively. Center extraction results of laser stripe can rebuild surface feature information of forge piece effectively and can meet measurement accuracy, speed and robustness requirement on industrial site.

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    JIA Zhen-yuan, FAN Chao-nan, LIU Wei, YANG Jing-hao, XU Peng-tao. Extraction of laser stripe centers based on equal matching points for binocular vision measurement[J]. Optics and Precision Engineering, 2016, 24(7): 1582

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    Paper Information

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    Received: Jan. 18, 2016

    Accepted: --

    Published Online: Aug. 29, 2016

    The Author Email: Zhen-yuan JIA (jzyxy@dlut.edu.cn)

    DOI:10.3788/ope.20162407.1582

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