THE APPLICATION OF DIGITAL IMAGE PROCESSING IN FREIGHT TRAIN INSPECTION SYSTEM
In this paper, we proposed a novel application based on digital image processing model in Freight Train Inspection (FTI) system.Each wagon image of freight train is captured by enterprise Automated Train Scanning System (ATSS).The main challenge of this application is automatically detecting the appropriate region of interest on the image for inspection.To address this problem, the improved adaptive multi-scaled retinex (MSR) and K-mean clustering methods are applied for image enhancement and positioning techniques.In the experimental the proposed model were found to improve the segmentation efficiency, thereby the result of inspection is optimized.The evaluation result also demonstrated the good system performance when the application is implemented using Vision Services Oriented (VSO) framework.
Digital Image processing adaptive MSR K-mean Freight Train Inspection Automated Train Scanning System Vision Services Oriented
DAHAI YU JLVNFENG HAN
R&D Department,Tianjin TOEC GaoSi Communication Engineering Technical co. Ltd Computer Department,Information Engineering School,Tianjin University of Commerce
国际会议
成都
英文
1134-1142
2011-11-25（万方平台首次上网日期，不代表论文的发表时间）