An Application of Gray Level Co-occurrence Matrix in Computer-assisted Tooth Decay Diagnosis

摘要：

Artificial neural network (ANN) has got great success in medical image processing for clinical diagnostic -application because of its ability to arrange complex problems 3-7. In this paper, an ANN tooth decay diagnostic strategy was proposed and carefully experimented. A back propagation (BP) neural network was formed to analyze the X-ray image of patients teeth. With four coefficients form gray level co-occurrence matri|9, 10) as its input feature vector, the network is used to make differential diagnoses between decayed and normal teeth after it has been trained for many times. The experimental results indicated that using computer-assisted tooth decay diagnosis is a new method good for dentists.

关键词： gray level co-occurrence matrix tooth decay back propagation neural network

作者: YU YANG

作者单位: Basic Department The Chinese Peoples Armed Police Forces Academy, Langfang, China

会议类型: 国际会议

会议名称: The 13th IEEE Joint International Computer Science and Information Technology Conference(2011年第13届IEEE联合国际计算机科学与信息技术会议 JICSIT 2011)

会议地点: 重庆

会议语种:英文

页码: 1613-1615

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）