Data di Pubblicazione:
2000
Citazione:
Composite real-time image processing for railways track profile measurement / C. Alippi, E. Casagrande, V. Piuri, F. Scotti. - In: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. - ISSN 0018-9456. - 49:3(2000), pp. 559-564.
Abstract:
Checking railway status is critical to guarantee high operating safety, proper maintenance schedule, low maintenance and operating costs. This operation consists of the analysis of the rail profile and level as well as overall geometry and undulation. 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 pre-filtering to restrict the image area containing the track profile, while high accuracy is achieved by neural reconstruction of the profile itself.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
Gaussian distribution ; Condition monitoring ; Convolution ; Generalisation (artificial intelligence) ; Image restoration ; Maintenance engineering ; Measurement by laser beam ; Radial basis function networks ; Railways ; Surface topography measurement.
Elenco autori:
C. Alippi, E. Casagrande, V. Piuri, F. Scotti
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