Image processing methods for food inspection

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buir.advisorÇetin, A. Enis
dc.contributor.authorYorulmaz, Onur
dc.date.accessioned2016-01-08T18:21:49Z
dc.date.available2016-01-08T18:21:49Z
dc.date.issued2012
dc.descriptionAnkara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Science of Bilkent University, 2012.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 2012.en_US
dc.descriptionIncludes bibliographical refences.en_US
dc.description.abstractWith the advances in computer technology, signal processing techniques are widely applied to many food safety applications. In this thesis, new methods are developed to solve two food safety problems using image processing techniques. First problem is the detection of fungal infection on popcorn kernel images. This is a damage called blue-eye caused by a fungus. A cepstrum based feature extraction method is applied to the kernel images for classification purposes. The results of this technique are compared with the results of a covariance based feature extraction method, and previous solutions to the problem. The tests are made on two different databases; reflectance and transmittance mode image databases, in which the method of the image acquisition differs. Support Vector Machine (SVM) is used for image feature classification. It is experimentally observed that an overall success rate of 96% is possible with the covariance matrix based feature extraction method over transmittance database and 94% is achieved for the reflectance database. The second food inspection problem is the detection of acrylamide on cookies that is generated by cooking at high temperatures. Acrylamide is a neurotoxinen_US
dc.description.provenanceMade available in DSpace on 2016-01-08T18:21:49Z (GMT). No. of bitstreams: 1 0006353.pdf: 35041822 bytes, checksum: 6f1316134afdeca710df1362ed3c7672 (MD5)en
dc.description.statementofresponsibilityYorulmaz, Onuren_US
dc.format.extentxiii, 55 leaves, illustrationsen_US
dc.identifier.urihttp://hdl.handle.net/11693/15633
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFungal Infections on Popcorn Kernelsen_US
dc.subjectCepstrum Featuresen_US
dc.subjectCovariance Featuresen_US
dc.subjectAcrylamideen_US
dc.subjectActive Contour Algorithmen_US
dc.subjectSupport Vector Machineen_US
dc.subject.lccTX541 .Y67 2012en_US
dc.subject.lcshFood--Analysis.en_US
dc.subject.lcshFood adulteration and inspection.en_US
dc.subject.lcshImage processing--Digital techniques.en_US
dc.titleImage processing methods for food inspectionen_US
dc.typeThesisen_US
thesis.degree.disciplineElectrical and Electronic Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

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