西北师范大学学报（自然科学版）2017，Vol.53Issue(5)：45-48,4.DOI:10.16783/j.cnki.nwnuz.2017.05.009
基于机器视觉的铁轨扣件边缘检测研究
Research on edge detection of track fastener based on machine vision
摘要
Abstract
In this paper,the machine vision technology is applied for the detection process of railway fastener,and the image acquisition,pre-processing,edge detection algorithm are realized in HALCON.The experimental results show that the edge extraction time of each fastener image is mean about 25.7 ms.Compared to other operators,using Canny operator to extract the edge of the fastener is faster in HALCON.It may provide reference for the maintenance of railway staff.关键词
智能交通/边缘检测/Canny算子Key words
intelligent transportation/edge detection/Canny operator分类
信息技术与安全科学引用本文复制引用
李锦珑,马宏锋,张维昭,李祥林..基于机器视觉的铁轨扣件边缘检测研究[J].西北师范大学学报（自然科学版）,2017,53(5):45-48,4.基金项目
国家自然科学基金资助项目(61461023) （61461023）
兰州市科技计划资助项目(20141187) （20141187）
兰州工业学院青年科技创新计划资助项目(14K-010) （14K-010）
