Defect Recognition of Aircraft Rivet Based on Magento-optic Image
基于磁光图像的飞机铆钉缺陷识别

Aiming at the magneto-optic image of aircraft rivet,a new automated recognition algorithm based on fuzzy support vector machine(FSVM)is presented in order to inspect the crack of rivet and its direction.The binary image of rivet is obtained by preprocessing the magneto-optic image;the approximate center of rivet is obtained through the threshold method;the star radial vector radiated from the approximate center of rivet is regarded as the characteristic,and the algorithm based on FSVM is used to inspect the crack of rivet and its direction.The kernel parameter and the penalty constant of SVM are optimized using the grid method.And fuzzy multi-class classification method is adopted to avoid refusal classification and false classification.Experiment results show that good effect of defect recognition is achieved using our SVM classifier,and the request of high real time in automated recognition is satisfied.