Research on Wear Debris Recognition System based on ART and Gray Level Co-occurrence Matrix

摘要：

　　Wear debris recongition system is researched,which is based on adaptive resonance theory of artifical neural network(ART) and gray level co-occurrence matrix.The ditailed process is as follows:the first,according to gray level co-occurrence matrix theory,wear image refining feature parameter algorithm is researched; the second,in order to solve the wear debris classification,which is built on the wear image refining feature parameter algorithm,wear debris classification ART algorithm is researched;at last,a series of experiments,which is based on the algorithm,are processed.The theroy derivation and experiment results prove that the wear debris recongition system is feasible in recognition accuracy and algorithm convergence speed.

关键词： wear debris image texture characteristic parameter ART gray level co-occurrence matrix classification

作者: Jianli Kang

作者单位: Department of Mechanical Engineering ,Wenzhou Vocational&Technical College,Wenzhou,325035,China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 4127-4131

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）