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    Segmentation assisted food classification for dietary assessment

    Access Status
    Fulltext not available
    Authors
    Zhu, F.
    Bosch, M.
    Schap, T.
    Khanna, N.
    Ebert, D.
    Boushey, Carol
    Delp, E.
    Date
    2011
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Zhu, F. and Bosch, M. and Schap, T. and Khanna, N. and Ebert, D. and Boushey, C. and Delp, E. 2011. Segmentation assisted food classification for dietary assessment, in Bouman, C. and Pollak, I. and Wolfe, P. (eds), Proceedings of SPIE, Volume 7873, Computational Imaging IX, Jan 23-27 2011. San Francisco, CA: International Society for Optics and Photonics (SPIE).
    Source Title
    Proceedings of SPIE - The International Society for Optical Engineering
    DOI
    10.1117/12.877036
    ISBN
    9780819484109
    School
    School of Public Health
    URI
    http://hdl.handle.net/20.500.11937/51147
    Collection
    • Curtin Research Publications
    Abstract

    Accurate methods and tools to assess food and nutrient intake are essential for the association between diet and health. Preliminary studies have indicated that the use of a mobile device with a built-in camera to obtain images of the food consumed may provide a less burdensome and more accurate method for dietary assessment. We are developing methods to identify food items using a single image acquired from the mobile device. Our goal is to automatically determine the regions in an image where a particular food is located (segmentation) and correctly identify the food type based on its features (classification or food labeling). Images of foods are segmented using Normalized Cuts based on intensity and color. Color and texture features are extracted from each segmented food region. Classification decisions for each segmented region are made using support vector machine methods. The segmentation of each food region is refined based on feedback from the output of classifier to provide more accurate estimation of the quantity of food consumed.

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