Dietary Assessment on a Mobile Phone Using Image Processing and Pattern Recognition Techniques: Algorithm Design and System Prototyping
1
School of Medicine, University of Wollongong, Wollongong, NSW 2522, Australia
2
School of Computing and Information Technology, University of Wollongong, Wollongong, NSW 2522, Australia
3
Faculty of Information Technology, University of Science Ho Chi Minh City 70000, Vietnam
4
School of Computing and Information Technology, University of Wollongong, Wollongong, NSW 2522, Australia
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Nutrients 2015, 7(8), 6128-6138; https://doi.org/10.3390/nu7085274
Received: 17 April 2015 / Accepted: 8 July 2015 / Published: 27 July 2015
(This article belongs to the Special Issue Assessment of Nutrient Intakes)
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.
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Keywords:
mHealth; food record; image processing; pattern recognition; food image
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MDPI and ACS Style
Probst, Y.; Nguyen, D.T.; Tran, M.K.; Li, W. Dietary Assessment on a Mobile Phone Using Image Processing and Pattern Recognition Techniques: Algorithm Design and System Prototyping. Nutrients 2015, 7, 6128-6138.
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