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dc.contributor.authorSampson, David
dc.date.accessioned2011-09-06T14:13:43Z
dc.date.available2011-09-06T14:13:43Z
dc.date.issued2011-09-06
dc.identifier.urihttp://hdl.handle.net/10222/14216
dc.description.abstractComputer-vision technology methods for assessing food quality were evaluated for their ability to provide non-contact measurements of apple slices. The methods evaluated were camera calibration, measurements of physical parameters of apple slices, and measurement of biochemical changes in apple slices. Each measure of food quality that was assessed by computer-vision was compared to a conventional method of measurement. The computer-vision system was capable of measuring area, thickness and volumes of apple slices. Color measurements from the computer-vision system were correlated with phenolic compound degradation in the beginning of the drying process and with hydroxymethylfurfural development later in the drying process.en_US
dc.language.isoenen_US
dc.subjectappleen_US
dc.subjectdryingen_US
dc.subjectcomputer-visionen_US
dc.subjectimage analysisen_US
dc.subjectqualityen_US
dc.subjectfooden_US
dc.titleEVALUATION OF QUALITY OF APPLE SLICES DURING CONVECTION DRYING USING REAL-TIME IMAGE ANALYSISen_US
dc.date.defence2011-08-26
dc.contributor.departmentNova Scotia Agricultural Collegeen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.external-examinerDr. Nicholas Krouglicofen_US
dc.contributor.graduate-coordinatorDr. Dian Pattersonen_US
dc.contributor.thesis-readerDr. Qamar Zamanen_US
dc.contributor.thesis-readerDr. Vasantha Rupasingheen_US
dc.contributor.thesis-readerDr. Bruce Rathgeberen_US
dc.contributor.thesis-readerDr. Nicholas Krouglicofen_US
dc.contributor.thesis-supervisorDr. Vasantha Rupasinghe and Dr. Qamar Zamanen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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