中国组织工程研究 ›› 2011, Vol. 15 ›› Issue (35): 6588-6591.doi: 10.3969/j.issn.1673-8225.2011.35.030

• 数字化骨科 digital orthopedics • 上一篇    下一篇

以计算机数字图像处理和模式识别技术设计的烤瓷牙比色系统

刘纪红1,2,陶倚天1   

  1. 东北大学,1中荷生物医学与信息工程学院, 2信息科学与工程学院,辽宁省沈阳市110005
  • 收稿日期:2011-04-14 修回日期:2011-06-28 出版日期:2011-08-27 发布日期:2011-08-27
  • 通讯作者: 陶倚天,东北大学中荷生物医学与信息工程学院在读硕士。东北大学中荷生物医学与信息工程学院,辽宁省沈阳市 110005 p.w.29@163.com
  • 作者简介:刘纪红☆,女,1969年生,辽宁省沈阳市人,汉族,2003年东北大学毕业,博士,主要从事生物信息建模和分析、医学影像可视化,智能信息处理方面的研究。 liujihong@ise.neu.edu.cn

Design of color matching system for porcelain teeth based on computer digital image processing and pattern recognition technology

Liu Ji-hong1, 2, Tao Yi-tian1   

  1. 1 Sino-Dutch Biomedical and Information Engineering School,Northeastern University, Shenyang  110005, Liaoning Province, China
    2College of Information Science and Engineering, Northeastern University, Shenyang  110005, Liaoning Province, China
  • Received:2011-04-14 Revised:2011-06-28 Online:2011-08-27 Published:2011-08-27
  • Contact: Tao Yi-tian, Studying for master’s degree, Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang 110005, Liaoning Province, China p.w.29@163.com
  • About author:Liu Ji-hong☆, Doctor, Sino-Dutch Biomedical and Information Engineering School,Northeastern University, Shenyang 110005, Liaoning Province, China; College of Information Science and Engineering, Northeastern University, Shenyang 110005, Liaoning Province, China liujihong@ise.neu.edu.cn

摘要:

背景:制备烤瓷牙时需要将患者牙齿与牙齿比色板比对得到患者牙齿的颜色编号,目前临床中常使用目测法,但这种方法会受到很多客观或主观的条件限制。
目的:设计能够进行图像采集,可实现牙齿比色功能的系统,并且尽量提高识别效果。
方法:利用摄像笔与暗室配合,采集牙齿比色板图像;数字图像处理方法提取图像颜色特征,分别使用最小距离法、K-近邻法和九分法对图像进行识别分类测试,观测分类结果是否满足需求。
结果与结论:利用最小距离法和K-近邻法可以进行识别分类,但由于数据承受量较低,会影响测试分类结果;利用九分法可以很大程度提高分类正确识别率,基本可以得到满意的结果。

关键词: 烤瓷牙比色, 数字化口腔科技术, 图像分析, VITA Toothguide 3D-MASTER比色板, 九分法

Abstract:

BACKGROUND: In order to make the porcelain tooth and the patient’s own tooth more alike, dentist needs tooth guide’s help. Dentist puts tooth guide near patient’s tooth, and finds the most similar color with naked eye. This method is easily affected by the light surrounding. Or different dentists may give different judgment of one patient.
OBJECTIVE: To design an image acquisition system for color matching to find the nearest color of the tooth in the tooth guide, and to improve the recognition rate as much as possible.
METHODS: Capture and collect tooth photos in the tooth guide. Extract the color feature of the tooth with image processing techniques. Recognize the color type which the tooth belongs to in the tooth guide in different methods.
RESULTS AND CONCLUSION: Nearest method and K-nearest neighbor method can do the recognition, but the recognition rates are not good enough due to the small data amount. The nine-slice method can raise the recognition rate, and get an available result.

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