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    Procesado y compresión de secuencias termográficas basados en el momento estadístico de cuarto orden, kurtosis

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    Procesado y compresi ... (178.9Kb)
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    URI: http://hdl.handle.net/10902/2503
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    Author
    Albendea Herrera, Paula; Madruga Saavedra, Francisco JavierAutoridad Unican; García Allende, Pilar Beatriz; Ibarra Castanedo, Clemente; López Higuera, José MiguelAutoridad Unican
    Date
    2009-09
    Derechos
    © 2009 URSI España
    Publicado en
    URSI 2009, XXIV Simposium Nacional de la Unión Científica Internacional de Radio, Santander
    Abstract:
    The automatic detection of subsurface defects has become a desired goal in the application of non-destructive testing and evaluation techniques. In this paper, an algorithm based on the fourth order standardised statistic moment, i.e. kurtosis, is proposed for detection and/or characterization of subsurface defects having a thermal diffusivity either higher or lower than the host material. The analysis of thermographic data can be reduced to the temporal statistics of the thermographic sequence and provides a single image showing the different defects without the necessity of establishing other evaluating parameters such as the delayed time of the first image or the acquisition frequency in the analysis, which are required in other processing techniques. All the information is contained in a single image allowing to discriminate between the defect types (high or low thermal diffusivity). Synthetic data from ThermocalcÒ using a PlexiglasTM and Steel specimens are showed for validating the processed method.
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    UNIVERSIDAD DE CANTABRIA

    Repositorio realizado por la Biblioteca Universitaria utilizando DSpace software
    Contact Us | Send Feedback
    Metadatos sujetos a:licencia de Creative Commons Reconocimiento 3.0 España