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  • 标题:Research on Pearl Detecting and GradingBased on Monocular Multi-view Machine Vision
  • 本地全文:下载
  • 作者:Yi-ping Tang ; Shao-jie Xia ; Zhi-liang Zhu
  • 期刊名称:Current Journal of Applied Science and Technology
  • 印刷版ISSN:2457-1024
  • 出版年度:2014
  • 卷号:4
  • 期号:15
  • 页码:2136-2151
  • 语种:English
  • 出版社:Sciencedomain International
  • 摘要:Aims: Pearl is a non-planar object and its surface has a certain degree of curvature. It is necessary to obtain the image of the entire surface of a pearl for the aim to achieve the grade based on size, shape, luster, blemish and color. This paper designed a detecting device to solve this problem and complete the pearl’s grading automatically.Methodology: In this paper, an imaging apparatus of monocular multi-view was designed by putting a symmetric bucket cavity, which was made of 4 planar mirrors in front of the camera. The surface of a pearl will be captured from different perspectives using this device. Then a series of views which reflect the quality of a pearl could be achieved by image processing. Finally feature fusion will be utilized to determine the quality of the pearl.Conclusion: Experimental results show that the image of the entire surface of a pearl could be obtained in a unified color system using the proposed device. Besides, the device accomplishes pearl online detecting and grading according to the quality indicators such as size, shape, luster, blemish and color.
  • 关键词:Machine vision;monocular multi-view;digital image processing;pearl quality detection;online grading
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