Segmentation and Quantification of Dental Plaque using Modified Kernelized Fuzzy C-Means Clustering Algorithm

摘要：

This paper presented an approach for automatically quantifying the dental plaque based on modified kernelized fuzzy c-means. The proposed approach was applied to a clinical database consisting of 30 objects. The experimental results show that the proposed method provids accurate quantitative measurement of dental plaque compared with that of traditional manual measurement indices of the dental plaque.

关键词： Dental Plaque Segmentation Kernelized Fuzzy C-Means Kernel-Induced Distance

作者: Jiayin kang Zhicheng Ji Chenglong Gong

作者单位: School of Communication and Control Engineering, Jiangnan University, Wuxi 214122 , China School of School of Communication and Control Engineering, Jiangnan University, Wuxi 214122 , China School of Electronics Engineering, Huaihai Institute of Technology, Lianyungang 222005, China

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 788-791

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）