宁夏工程技术2024，Vol.23Issue(2)：180-184,192,6.
一种基于图像处理的铁轨积沙检测方法
A Railway Sand Accumulation Detection Method Based on Image Processing
摘要
Abstract
To address the issues of poor real-time performance,susceptibility to weather factors,and unclear quantification indicators of sand accumulation detection on railway tracks,a railway sand accumulation detection method based on image processing is proposed.The single-scale Retinex algorithm is utilized to process images of railway tracks sand accumulation under sand and dust weather conditions.The threshold segmentation of the images containing shadows is performed through feature extraction of non-sand accumulation areas and the maximum inter-class variance method,and sand accumulation information is obtained by integrating the results of two image segmentation.Additionally,based on the division index of railway sand hazard levels,the extracted sand accumulation information is graded according to the corresponding sand hazard levels,achieving sand accumulation detection on railway tracks under different weather conditions.Experimental results demonstrate that this method can accurately obtain the status of sand accumulation on railway tracks under both sunny and dusty weather conditions and provide warnings according to corresponding sand hazard levels.关键词
铁轨积沙/图像处理/特征提取/沙害等级Key words
railway sand accumulation/image processing/feature extraction/sand hazard level分类
信息技术与安全科学引用本文复制引用
廖乾国,李钧,李兴财..一种基于图像处理的铁轨积沙检测方法[J].宁夏工程技术,2024,23(2):180-184,192,6.基金项目
兰州大学中央高校基本科研业务费专项资金资助项目(lzujbky-2022-kb08) （lzujbky-2022-kb08）
宁夏回族自治区创新领军人才培养计划项目(2020GKLRLX08) （2020GKLRLX08）
宁夏自然科学基金项目(2022AAC03643) （2022AAC03643）
