Signal and image processing algorithms for agricultural applications

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buir.advisorÇetin, Ahmet Enis
dc.contributor.authorDülek, Berkan
dc.date.accessioned2016-07-01T11:06:07Z
dc.date.available2016-07-01T11:06:07Z
dc.date.issued2006
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionCataloged from PDF version of article.en_US
dc.description.abstractMedical studies indicate that acrylamide causes cancer in animals and certain doses of acrylamide are toxic to the nervous system of both animals and humans. Acrylamide is produced in carbohydrate foods prepared at high temperatures such as fried potatoes. For this reason, it is crucial for human health to quantitatively measure the amount of acrylamide formed as a result of prolonged cooking at high temperatures. In this thesis, a correlation is demonstrated between measured acrylamide concentrations and NABY (Normalized Area of Brownish Yellow regions) values estimated from surface color properties of fried potato images using a modified form of the k-means algorithm. Same method is used to estimate acrylamide levels of roasted coffee beans. The proposed method seems to be a promising approach for the estimation of acrylamide levels and can find applications in industrial systems. The quality and price of hazelnuts are mainly determined by the ratio of shell weight to kernel weight. Due to a number of physiological and physical disorders, hazelnuts may grow without fully developed kernels. We previously proposed a prototype system which detects empty hazelnuts by dropping them onto a steel plate and processing the acoustic signal generated when kernels hit the plate. In that study, feature vectors describing time and frequency nature of the impact sound were extracted from the acoustic signal and classified using Support Vector Machines. In the second part of this thesis, a feature domain post-processing method based on vector median/mean filtering is shown to further increase these classification results.en_US
dc.description.degreeM.S.en_US
dc.description.statementofresponsibilityDülek, Berkanen_US
dc.format.extentxiii, 67 leaves, illustrationsen_US
dc.identifier.itemidBILKUTUPB095198
dc.identifier.urihttp://hdl.handle.net/11693/29820
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAcrylamideen_US
dc.subjectFried potatoesen_US
dc.subjectCoffeeen_US
dc.subjectK-meansen_US
dc.subjectImage analysisen_US
dc.subjectColoren_US
dc.subjectSegmentationen_US
dc.subjectMedian/mean filteringen_US
dc.subjectHazelnutsen_US
dc.subjectAcousticsen_US
dc.subjectClassificationen_US
dc.subjectAflatoxinen_US
dc.subject.lccTK5102.9 .D85 2006en_US
dc.subject.lcshSignal processing Digital techniques.en_US
dc.titleSignal and image processing algorithms for agricultural applicationsen_US
dc.typeThesisen_US
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Dept. of Electrical and Electronics Engineering - Master's degree