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    A New Texture Feature for Improved Food Recognition Accuracy in a Mobile Phone Based Dietary Assessment System

    Access Status
    Fulltext not available
    Authors
    Hafizur, Rahman
    Pickering, Mark
    Kerr, Deborah
    Boushey, Carol
    Delp, Edward
    Date
    2012
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Rahman, Md Hafizur and Pickering, M.R. and Kerr, D. and Boushey, C.J. and Delp, E.J. 2012. A New Texture Feature for Improved Food Recognition Accuracy in a Mobile Phone Based Dietary Assessment System, in IEEE International Conference on Multimedia and Expo Workshops, Jul 9-13 2012, pp. 418-423. Melbourne, VIC: IEEE.
    Source Title
    ICME 2012
    Source Conference
    2012 IEEE International Conference on Multimedia and Expo
    DOI
    10.1109/ICMEW.2012.79
    URI
    http://hdl.handle.net/20.500.11937/37789
    Collection
    • Curtin Research Publications
    Abstract

    Poor diet is one of the key determinants of an individual's risk of developing chronic diseases. Assessing what people eat is fundamental to establishing the link between diet and disease. Food records are considered the best approach for assessing energy intake however paper-based food recording is cumbersome and often inaccurate. Researchers have begun to explore how mobile devices can be used to reduce the burden of recording nutritional intake. The integrated camera in a mobile phone can be used for capturing images of food consumed. These images are then processed to automatically identify the food items for record keeping purposes. In such systems, the accurate classification of food items in these images is vital to the success of such a system. In this paper we will present a new method for generating texture features from food images and demonstrate that this new feature provides greater food classification accuracy for a mobile phone based dietary assessment system.

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