计算机应用 ›› 2011, Vol. 31 ›› Issue (10): 2764-2766.DOI: 10.3724/SP.J.1087.2011.02764

• 图形图像技术 • 上一篇    下一篇

基于机器视觉的珍珠光洁度在线自动分级

徐舒畅1,邱咸2,张三元3   

  1. 1.杭州师范大学 信息科学与工程学院,杭州 310036
    2.浙江佳丽珍珠首饰有限公司,浙江 诸暨 311804
    3.浙江大学 计算机学院,杭州 310007
  • 收稿日期:2011-04-14 修回日期:2011-06-10 发布日期:2011-10-11 出版日期:2011-10-01
  • 通讯作者: 徐舒畅
  • 作者简介:徐舒畅(1979-),男,浙江兰溪人,副教授,博士,主要研究方向:图像处理、机器视觉、模式识别、人工智能;邱咸(1973-),男,浙江诸暨人,硕士,主要研究方向:珍珠分级标准、淡水珍珠养殖;张三元(1963-),男,安徽岳西人,教授,博士生导师,主要研究方向:计算机图形学、CAD、图像处理、数字媒体、数字几何处理。
  • 基金资助:

    浙江省自然科学基金资助项目(Y1100557;Y1100824);浙江省重大科技专项(2006C12116)

Online automated grading of pearl surface perfection based on computer vision

XU Shu-chang1, QIU Xian2, ZHANG San-yuan3   

  1. 1.School of Information Science and Engineering, Hangzhou Normal University, Hangzhou Zhejiang 310036, China
    2. Zhejiang Grace Pearl Jewelry Company Limited, Zhuji Zhejiang 311804, China
    3. School of Computer Science, Zhejiang University, Hangzhou Zhejiang 310007, China
  • Received:2011-04-14 Revised:2011-06-10 Online:2011-10-11 Published:2011-10-01
  • Contact: Shu-Chang XU

摘要: 为代替耗时的传统人工分选,设计了一种基于机器视觉的珍珠光洁度在线自动分级系统。首先,该系统在珍珠自由落体时对珍珠进行全方位成像;然后对图像进行实时分析,计算珍珠的有效特征;最后,根据多图的有效特征确定珍珠的光洁度等级。实践证明,该系统不但提高了珍珠光洁度的分选效率,而且节省了企业的生产成本。

关键词: 珍珠图像, 机器视觉, 珍珠光洁度, 在线自动分级, 自动分选设备

Abstract: An online automated grading system of pearl perfection based on computer vision was introduced to replace time-consuming human grading. Firstly, the whole pearl surface was captured as images when the pearl freely fell. The surface images were then analyzed in real-time to obtain valid features, and then the features were applied to determine the final pearl perfection grade. The performance shows the new system greatly improves the efficiency of pearl surface perfection grading and cuts the cost down as well.

Key words: pearl image, computer vision, pearl surface perfection, online automated grading, automatic sorting equipment

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