Pantograph Slide Cracks Detection Method Based on Fuzzy Entropy and Hough Transform

In order to deal with the problem that faults of pantograph slide cracks may impair traffic safety,a novel method of pantograph slide crack detection was put forward on the basis of fuzzy entropy and Hough transform.According to the gray distribution of pixels in the neighborhood,the edge detection method based on the entropy of interval type 2 fuzzy sets was forward to obtain the slide edge image with enhanced features;then,the connected domain method was used to remove isolated noise points to obtain the slide edge image mainly including four types of graphic elements,i.e.,boundary lines,joints,rivets and cracks;on this basis,the characteristics distribution of the various types of graphic elements in the parameter space was analyzed by using Hough transform,thus,the method to extract slide cracks based on Hough transform under constraint of polar angles was proposed;through effectively excluding feature points of non-crack graphic elements,automatic slide crack detection was realized finally.The simulation results indicate as follows:The proposed edge detection method can obtain slide edge images with enhanced linear features,thus laying a foundation beneficial to subsequent Hough transform;The proposed crack extraction method can be applied to accurately identify and locate slide cracks.