Neural network method applied to particle-image velocimetry

Ian Grant, X. Pan

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The pattern recognition problem considered in the present paper is the identification of image grouping in double exposure particle image velocimetry (PIV) images. The aim is to provide an adaptive net which, following initial training, is able to identify image partners and adapt to changing flow conditions. This latter feature is seen as essential in order that full potential of the neural net in temporarily or spatially changing flow regimes is realized.

    Original languageEnglish
    Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
    Pages437-447
    Number of pages11
    Volume2005
    Publication statusPublished - 1993
    EventOptical Diagnostics in Fluid and Thermal Flow - San Diego, CA, USA
    Duration: 14 Jul 199316 Jul 1993

    Conference

    ConferenceOptical Diagnostics in Fluid and Thermal Flow
    CitySan Diego, CA, USA
    Period14/07/9316/07/93

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  • Cite this

    Grant, I., & Pan, X. (1993). Neural network method applied to particle-image velocimetry. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 2005, pp. 437-447)