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    Image enhancement and quality measures for dietary assessment using mobile devices

    Access Status
    Fulltext not available
    Authors
    Xu, C.
    Zhu, F.
    Khanna, N.
    Boushey, Carol
    Delp, E.
    Date
    2012
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Xu, C. and Zhu, F. and Khanna, N. and Boushey, C. and Delp, E. 2012. Image enhancement and quality measures for dietary assessment using mobile devices, in Bouman, C. and Pollak, I. and Wolfe, P. (eds), Proceedings of the SPIE Conference, Computational Imaging X: Enhancement, Denoising, and Restoration I, Jan 23-24 2012. Volume 8296: OQ. Burlingame, CA, USA: SPIE.
    Source Title
    Proceedings of SPIE - The International Society for Optical Engineering
    DOI
    10.1117/12.909949
    ISBN
    9780819489432
    School
    School of Public Health
    URI
    http://hdl.handle.net/20.500.11937/51079
    Collection
    • Curtin Research Publications
    Abstract

    Measuring accurate dietary intake is considered to be an open research problem in the nutrition and health fields. We are developing a system, known as the mobile device food record (mdFR), to automatically identify and quantify foods and beverages consumed based on analyzing meal images captured with a mobile device. The mdFR makes use of a fiducial marker and other contextual information to calibrate the imaging system so that accurate amounts of food can be estimated from the scene. Food identification is a difficult problem since foods can dramatically vary in appearance. Such variations may arise not only from non-rigid deformations and intra-class variability in shape, texture, color and other visual properties, but also from changes in illumination and viewpoint. To address the color consistency problem, this paper describes illumination quality assessment methods implemented on a mobile device and three post color correction methods.

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