title: Dietary Assessment on a Mobile Phone Using Image Processing and Pattern Recognition Techniques: Algorithm Design and System Prototyping.
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.
authors.affiliation: School of Medicine, University of Wollongong, Wollongong, NSW 2522, Australia. yasmine@uow.edu.au.
authors.forename: Yasmine
authors.initials: Y
authors.lastname: Probst
authors.affiliation: School of Computing and Information Technology, University of Wollongong, Wollongong, NSW 2522, Australia. dtn156@uowmail.edu.au.
authors.forename: Duc Thanh
authors.initials: DT
authors.lastname: Nguyen
authors.affiliation: Faculty of Information Technology, University of Science Ho Chi Minh City 70000, Vietnam. minhkhoitran2@gmail.com.
authors.forename: Minh Khoi
authors.initials: MK
authors.lastname: Tran
authors.affiliation: School of Computing and Information Technology, University of Wollongong, Wollongong, NSW 2522, Australia. wanqing@uow.edu.au.
authors.forename: Wanqing
authors.initials: W
authors.lastname: Li
mesh_terms: D000465:Algorithms; D001315:Australia; D040421:Cell Phone; D004032:Diet; D015930:Diet Records; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008962:Models, Theoretical; D015596:Nutrition Assessment; D010781:Photography
keywords: food image; food record; image processing; mHealth; pattern recognition