Study on The Detection Method of SUSAN Opertor and K-means Clustering Clgorithm Fusion

摘要：

To quickly detect the defection of moving object, base on the experiments and analysis of the advantages and disadvantages of the classical operator, a new detection method of SUSAN Opertor and K-means clustering algorithm fusion is presented in this paper. This method integrates the advantages of the high precision of edge detection of the SUSAN Opertor and the accurate online detection of K-Means clustering,the surface defect of the moving target can be detected effectively and accurately.

关键词： detection surface defect SUSAN operator the K-Means clustering

作者: Kang Zhi-qiang Shi Xiu-hua Li Qi Feng Bin

作者单位: School of Marine Engineering ,Northwestern Polytechnical University,Xi’an Shannxi 710072, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 817-820

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）