Computer vision based analysis of potato chips-A tool for rapid detection of acrylamide level

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dc.citation.epage810en_US
dc.citation.issueNumber9en_US
dc.citation.spage805en_US
dc.citation.volumeNumber50en_US
dc.contributor.authorGökmen, V.en_US
dc.contributor.authorSenyuva, H. Z.en_US
dc.contributor.authorDülek, B.en_US
dc.contributor.authorÇetin, E.en_US
dc.date.accessioned2016-02-08T10:18:17Z
dc.date.available2016-02-08T10:18:17Z
dc.date.issued2006en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractIn this study, analysis of digital color images of fried potato chips were combined with parallel LCMS based analysis of acrylamide in order to develop a rapid tool for the estimation of acrylamide during processing. Pixels of the fried potato image were classified into three sets based on their Euclidian distances to the representative mean values of typical bright yellow, yellowish brown, and dark brown regions using a semiautomatic segmentation algorithm. The featuring parameter extracted from the segmented image was NA2 value which was defined as the number of pixels in Set-2 divided by the total number of pixels of the entire fried potato image. Using training images of potato chips, it was shown that there was a strong linear correlation (r = 0.989) between acrylamide level and NA2 value. Images of a number of test samples were analyzed to predict their acrylamide level by means of this correlation data. The results confirmed that computer vision system described here provided explicit and meaningful description from the viewpoint of inspection and evaluation purpose for potato chips. Assuming a provisional threshold limit of 1000 ng/g for acrylamide, test samples could be successfully inspected with only one failure out of 60 potato chips.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:18:17Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2006en
dc.identifier.doi10.1002/mnfr.200500257en_US
dc.identifier.eissn1613-4133
dc.identifier.issn1613-4125
dc.identifier.urihttp://hdl.handle.net/11693/23729
dc.language.isoEnglishen_US
dc.publisherWiley - VCH Verlag GmbH & Co. KGaAen_US
dc.relation.isversionofhttps://doi.org/10.1002/mnfr.200500257en_US
dc.source.titleMolecular Nutrition and Food Researchen_US
dc.subjectAcrylamideen_US
dc.subjectComputer visionen_US
dc.subjectImage analysisen_US
dc.subjectPotato chipsen_US
dc.titleComputer vision based analysis of potato chips-A tool for rapid detection of acrylamide levelen_US
dc.typeArticleen_US

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