现代信息科技2024，Vol.8Issue(7)：118-122,127,6.DOI:10.19850/j.cnki.2096-4706.2024.07.025
基于图像处理的轨道表面病害检测研究
Research on Orbital Surface Disease Detection Based on Image Processing
摘要
Abstract
Taking steel rails as the research object,combined with image processing technology,the surface quality of steel rails is detected.Firstly,it preprocesses the steel rail image,enhance the image through linear grayscale transformation,and use adaptive filtering for image denoising.Secondly,the Ostu threshold segmentation algorithm is used to segment defects in the preprocessed steel rail images.Finally,using eccentricity,rectangularity,and density as classification criteria,the surface defects of steel rails are classified using decision tree classification method.The experimental results show that the image processing-based steel rail surface quality detection method can effectively detect steel rail defects,with a segmentation accuracy of 96.7%and a classification accuracy of 90%,providing an effective detection method for steel rail surface quality detection.关键词
钢轨缺陷/图像处理/边缘检测/阈值分割/缺陷分类Key words
steel rail defect/image processing/edge detection/threshold segmentation/defect classification分类
信息技术与安全科学引用本文复制引用
胡璐萍,王琪璇,吴哲,王小龙..基于图像处理的轨道表面病害检测研究[J].现代信息科技,2024,8(7):118-122,127,6.基金项目
陕西省教育厅科研计划项目(23JK0531) （23JK0531）
