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Dietary assessment on a mobile phone using image processing and pattern recognition techniques: Algorithm design and system prototyping

Journal Article


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Abstract


  • Dietary assessment, while traditionally based on pen-and-paper, is rapidly moving towards automatic approaches. This study describes an Australian automatic food record method and its prototype for dietary assessment via the use of a mobile phone and techniques of image processing and pattern recognition. Common visual features including scale invariant feature transformation (SIFT), local binary patterns (LBP), and colour are used for describing food images. The popular bag-of-words (BoW) model is employed for recognizing the images taken by a mobile phone for dietary assessment. Technical details are provided together with discussions on the issues and future work.

Publication Date


  • 2015

Citation


  • Probst, Y., Nguyen, D., Tran, M. & Li, W. (2015). Dietary assessment on a mobile phone using image processing and pattern recognition techniques: Algorithm design and system prototyping. Nutrients, 7 (8), 6128-6138.

Scopus Eid


  • 2-s2.0-84938381091

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=4402&context=smhpapers

Ro Metadata Url


  • http://ro.uow.edu.au/smhpapers/3379

Has Global Citation Frequency


Number Of Pages


  • 10

Start Page


  • 6128

End Page


  • 6138

Volume


  • 7

Issue


  • 8

Place Of Publication


  • Switzerland

Abstract


  • Dietary assessment, while traditionally based on pen-and-paper, is rapidly moving towards automatic approaches. This study describes an Australian automatic food record method and its prototype for dietary assessment via the use of a mobile phone and techniques of image processing and pattern recognition. Common visual features including scale invariant feature transformation (SIFT), local binary patterns (LBP), and colour are used for describing food images. The popular bag-of-words (BoW) model is employed for recognizing the images taken by a mobile phone for dietary assessment. Technical details are provided together with discussions on the issues and future work.

Publication Date


  • 2015

Citation


  • Probst, Y., Nguyen, D., Tran, M. & Li, W. (2015). Dietary assessment on a mobile phone using image processing and pattern recognition techniques: Algorithm design and system prototyping. Nutrients, 7 (8), 6128-6138.

Scopus Eid


  • 2-s2.0-84938381091

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=4402&context=smhpapers

Ro Metadata Url


  • http://ro.uow.edu.au/smhpapers/3379

Has Global Citation Frequency


Number Of Pages


  • 10

Start Page


  • 6128

End Page


  • 6138

Volume


  • 7

Issue


  • 8

Place Of Publication


  • Switzerland