计算机工程与应用2018，Vol.54Issue(13)：137-141,5.DOI:10.3778/j.issn.1002-8331.1703-0104
有砟轨道扣件缺失识别算法的研究
Research on ballasted track fastener loss recognition algo-rithm
摘要
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.关键词
扣件缺失识别/词袋模型/fastPCA/两级分类算法Key words
fastener identification/bag of words/fast PCA/two level classification algorithm分类
交通工程引用本文复制引用
张新峰,王明玉,张春梅..有砟轨道扣件缺失识别算法的研究[J].计算机工程与应用,2018,54(13):137-141,5.基金项目
16科技创新服务能力建设-科研基地-北京实验室-城市轨道交通北京实验室(参与)市级项目(No.002000546616003). （参与）
