Composite real-time image processing for railways track profile measurement

被引：106
|
作者：
Alippi, C [1 ]
Casagrande, E
Scotti, F
Piuri, V
机构：
[1] Politecn Milan, Dipartimento Elettr & Informaz, I-20133 Milan, Italy
[2] Tecnogamma Italy, I-31050 Badoere Di Morgano, Italy
来源：
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2000年 / 49卷 / 03期
关键词：
image processing; laser-based measurement; neural networks; real-time measurement;
D O I：
10.1109/19.850395
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Checking railway status is critical to guarantee high operating safety, proper maintenance schedule, and low maintenance and operating costs. This operation consists of the analysis of the rail profile and level as well as overall geometry and ondulation, Traditional detection systems are based on mechanical devices in contact with the track. Innovative approaches are based on laser scanning and image analysis. This paper presents an efficient composite technique for track profile extraction with real-time image processing. High throughput is obtained by algorithmic prefiltering to restrict the image area containing the track profile, while high accuracy is achieved by neural reconstruction of the profile itself.
引用
收藏
页码：559 / 564
页数：6
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