关键词: 扣件缺失识别, 词袋模型, fast PCA, 两级分类算法

Abstract: In view of ballasted track fastener missing problem, the algorithm for two level classification of fastener image recognition based on fast PCA and bag of words is proposed. Considering the portability of the algorithm and different shooting angles, rails and sleepers in the image direction are not vertical and single fastener positioning identification has limitations, the double fastener image sample for identification is put forward. Whether fasteners are absent can be detected by the first level classifier, and then the positions of the fasteners are obtained. The types of missing fasteners can be further judged by the second level classifier, and the more accurate number of missing fasteners can be acquired. The proposed recognition algorithm can achieve good recognition effect, effectively solve the detection of ballasted track missing fasteners under different shooting angles.

Key words: fastener identification, bag of words, fast PCA, two level classification algorithm