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dc.contributor.authorXu, C.
dc.contributor.authorZhu, F.
dc.contributor.authorKhanna, N.
dc.contributor.authorBoushey, Carol
dc.contributor.authorDelp, E.
dc.date.accessioned2017-03-17T08:29:31Z
dc.date.available2017-03-17T08:29:31Z
dc.date.created2017-02-19T19:31:48Z
dc.date.issued2012
dc.identifier.citationXu, C. and Zhu, F. and Khanna, N. and Boushey, C. and Delp, E. 2012. Image enhancement and quality measures for dietary assessment using mobile devices, in Bouman, C. and Pollak, I. and Wolfe, P. (eds), Proceedings of the SPIE Conference, Computational Imaging X: Enhancement, Denoising, and Restoration I, Jan 23-24 2012. Volume 8296: OQ. Burlingame, CA, USA: SPIE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/51079
dc.identifier.doi10.1117/12.909949
dc.description.abstract

Measuring accurate dietary intake is considered to be an open research problem in the nutrition and health fields. We are developing a system, known as the mobile device food record (mdFR), to automatically identify and quantify foods and beverages consumed based on analyzing meal images captured with a mobile device. The mdFR makes use of a fiducial marker and other contextual information to calibrate the imaging system so that accurate amounts of food can be estimated from the scene. Food identification is a difficult problem since foods can dramatically vary in appearance. Such variations may arise not only from non-rigid deformations and intra-class variability in shape, texture, color and other visual properties, but also from changes in illumination and viewpoint. To address the color consistency problem, this paper describes illumination quality assessment methods implemented on a mobile device and three post color correction methods.

dc.titleImage enhancement and quality measures for dietary assessment using mobile devices
dc.typeConference Paper
dcterms.source.volume8296
dcterms.source.titleProceedings of SPIE - The International Society for Optical Engineering
dcterms.source.seriesProceedings of SPIE - The International Society for Optical Engineering
dcterms.source.isbn9780819489432
curtin.departmentSchool of Public Health
curtin.accessStatusFulltext not available


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