Dietary Assessment on a Mobile Phone Using Image Processing and Pattern Recognition Techniques: Algorithm Design and System Prototyping

Dietary Assessment on a Mobile Phone Using Image Processing and Pattern Recognition Techniques: Algorithm Design and System Prototyping

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 recogn...

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Bibliographic Details
Main Authors: Yasmine Probst, Duc Thanh Nguyen, Minh Khoi Tran, Wanqing Li
Format: Article
Language:English
Published: MDPI AG 2015-07-01
Series:Nutrients
Subjects:
mHealth
food record
image processing
pattern recognition
food image
Online Access:http://www.mdpi.com/2072-6643/7/8/5274
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spelling doaj-5d380f0e3bee456ca083f895ac078cf02020-11-25T02:26:02ZengMDPI AGNutrients2072-66432015-07-01786128613810.3390/nu7085274nu7085274Dietary Assessment on a Mobile Phone Using Image Processing and Pattern Recognition Techniques: Algorithm Design and System PrototypingYasmine Probst0Duc Thanh Nguyen1Minh Khoi Tran2Wanqing Li3School of Medicine, University of Wollongong, Wollongong, NSW 2522, AustraliaSchool of Computing and Information Technology, University of Wollongong, Wollongong, NSW 2522, AustraliaFaculty of Information Technology, University of Science Ho Chi Minh City 70000, VietnamSchool of Computing and Information Technology, University of Wollongong, Wollongong, NSW 2522, AustraliaDietary 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.http://www.mdpi.com/2072-6643/7/8/5274mHealthfood recordimage processingpattern recognitionfood image
collection DOAJ
language English
format Article
sources DOAJ
author Yasmine Probst
Duc Thanh Nguyen
Minh Khoi Tran
Wanqing Li
spellingShingle Yasmine Probst
Duc Thanh Nguyen
Minh Khoi Tran
Wanqing Li
Dietary Assessment on a Mobile Phone Using Image Processing and Pattern Recognition Techniques: Algorithm Design and System Prototyping
Nutrients
mHealth
food record
image processing
pattern recognition
food image
author_facet Yasmine Probst
Duc Thanh Nguyen
Minh Khoi Tran
Wanqing Li
author_sort Yasmine Probst
title Dietary Assessment on a Mobile Phone Using Image Processing and Pattern Recognition Techniques: Algorithm Design and System Prototyping
title_short Dietary Assessment on a Mobile Phone Using Image Processing and Pattern Recognition Techniques: Algorithm Design and System Prototyping
title_full Dietary Assessment on a Mobile Phone Using Image Processing and Pattern Recognition Techniques: Algorithm Design and System Prototyping
title_fullStr Dietary Assessment on a Mobile Phone Using Image Processing and Pattern Recognition Techniques: Algorithm Design and System Prototyping
title_full_unstemmed Dietary Assessment on a Mobile Phone Using Image Processing and Pattern Recognition Techniques: Algorithm Design and System Prototyping
title_sort dietary assessment on a mobile phone using image processing and pattern recognition techniques: algorithm design and system prototyping
publisher MDPI AG
series Nutrients
issn 2072-6643
publishDate 2015-07-01
description 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.
topic mHealth
food record
image processing
pattern recognition
food image
url http://www.mdpi.com/2072-6643/7/8/5274
work_keys_str_mv AT yasmineprobst dietaryassessmentonamobilephoneusingimageprocessingandpatternrecognitiontechniquesalgorithmdesignandsystemprototyping
AT ducthanhnguyen dietaryassessmentonamobilephoneusingimageprocessingandpatternrecognitiontechniquesalgorithmdesignandsystemprototyping
AT minhkhoitran dietaryassessmentonamobilephoneusingimageprocessingandpatternrecognitiontechniquesalgorithmdesignandsystemprototyping
AT wanqingli dietaryassessmentonamobilephoneusingimageprocessingandpatternrecognitiontechniquesalgorithmdesignandsystemprototyping
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