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Computer vision coupled with laser backscattering for nondestructive colour evaluation of papaya during drying

dc.contributor.authorUdomkun, Patchimaporn
dc.contributor.authorNagle, M.
dc.contributor.authorArgyropoulos, D.
dc.contributor.authorWiredu, A.N.
dc.contributor.authorMahayothee, B.
dc.contributor.authorMüller, J.
dc.date.accessioned2019-12-04T11:08:56Z
dc.date.available2019-12-04T11:08:56Z
dc.date.issued2017
dc.identifier.citationUdomkun, P., Nagle, M., Argyropoulos, D., Wiredu, A.N., Mahayothee, B. & Muller, J. (2017). Computer vision coupled with laser backscattering for nondestructive colour evaluation of papaya during drying. Journal of Food Measurement and Characterization, 1-9.
dc.identifier.issn2193-4126
dc.identifier.urihttps://hdl.handle.net/20.500.12478/1941
dc.descriptionPublished online: 19 July 2017
dc.description.abstractColour change is a common physical phenomenon observed during drying, which need to be controlled since it directly affects consumer acceptance of dried products. This study aimed to investigate the feasibility of using computer vision, combined with laser light backscattering analysis at 650 nm in order to predict colour changes of papaya during drying. The results revealed that each image-processing factor obtained can potentially be used to describe every colour attribute change, except for chroma value. The multivariate correlations of measured backscattering parameters as well as the digital image properties were found to yield the best fitting for colour validations. Interestingly, the use of computer vision technique coupled with laser backscattering methods provides a reliable tool for quality control based on a rapid, consistent, and nonintrusive method for in-line quality measurement in established fruit drying processes.
dc.description.sponsorshipGerman Academic Exchange Service
dc.description.sponsorshipFederal Ministry for Economic Cooperation and Development, Germany
dc.description.sponsorshipInternational Fund for Agricultural Development
dc.description.sponsorshipEuropean Union
dc.format.extent1-9
dc.language.isoen
dc.subjectQuality Control
dc.subjectDrying
dc.subjectPapaya
dc.subjectColour Change
dc.subjectLaser Backscattering
dc.subjectComputer Vision System
dc.titleComputer vision coupled with laser backscattering for nondestructive colour evaluation of papaya during drying
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.crpAgriculture for Nutrition and Health
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationUniversität Hohenheim
cg.contributor.affiliationSilpakorn University, Thailand
cg.coverage.regionAsia
cg.coverage.regionSoutheast Asia
cg.coverage.countryThailand
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectFood Science
cg.iitasubjectFood Security
cg.iitasubjectFood Systems
cg.journalJournal of Food Measurement and Characterization
cg.howpublishedFormally Published
cg.accessibilitystatusLimited Access
local.dspaceid85175
cg.targetaudienceScientists
cg.identifier.doihttp://dx.doi.org/10.1007/s11694-017-9598-y


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