A Defect Status Detecting Method for External Gear in Railway

Gear is an important component in railway. The defect status of the gear affects railway riding quality and safety. In this paper, an automatic and quantitative defect status detecting method for external gear is proposed. First, a two-stage scheme is proposed for the segmentation of the meshing region in the gear tooth. Then adaptive thresholding and shape analysis are combined to detect the surface defects. The proposed method is tested on 140 gear tooth images. The area overlap of the meshing region is 0.87. The defect detection method has better performance than some related approaches.