• Acta Optica Sinica
  • Vol. 34, Issue 3, 315002 (2014)
Song Yunceng1、2、*, Chen Wei1、2, Ye Yutang1, Liu Juanxiu1, Huang Binquan1、2, Guo Tao1、2, and Zhao Jin1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/aos201434.0315002 Cite this Article Set citation alerts
    Song Yunceng, Chen Wei, Ye Yutang, Liu Juanxiu, Huang Binquan, Guo Tao, Zhao Jin. Sub-Pixel Stitching Method for Large Object with Duplicate Texture of Automatic Visual Inspection[J]. Acta Optica Sinica, 2014, 34(3): 315002 Copy Citation Text show less

    Abstract

    Focused on the problems that it′s difficult to obtain high precision mosaic image of object having duplicate texture in the automatic visual inspection system, a new two-dimensional (2D) image mosaic method based on sub-pixel grating positioning is presented. The method uses grating to record positions of object and calibration plate to accurately calibrate angles of X and Y axes between platform and camera, and build a 2D stitching model based on global Cartesian coordinate system to complete image stitching. Experimental results show that the method′s calibration repeatability reaches 10-4 rad order of magnitude, with average physical error of 8 μm, and stitching precision increases nearly 8 times than that of not correction, 2 times better than the method that has been reported. The method has been successfully used in the online automatic inspection equipment for ceramic substrate of navigation satellite′s receiving antenna circuit. The research result can be widely applied in machine vision automated inspection fields that require sub-pixel level detection precision.
    Song Yunceng, Chen Wei, Ye Yutang, Liu Juanxiu, Huang Binquan, Guo Tao, Zhao Jin. Sub-Pixel Stitching Method for Large Object with Duplicate Texture of Automatic Visual Inspection[J]. Acta Optica Sinica, 2014, 34(3): 315002
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