Study on the detection method of SUSAN Opertor and K-means clustering clgorithm fusion

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 Operator 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 Operator and the accurate online detection of K-Means clustering, the surface defect of the moving target can be detected effectively and accurately.