A segmentation algorithm for measuring blood glucose in hand-held devices

dc.contributor.advisorTFEMalanda Trigueros, Armando
dc.contributor.advisorTFEDemitri, Nevine
dc.contributor.advisorTFEZoubir, Abdelhak M.
dc.contributor.affiliationEscuela Técnica Superior de Ingenieros Industriales y de Telecomunicaciónes_ES
dc.contributor.affiliationTelekomunikazio eta Industria Ingeniarien Goi Mailako Eskola Teknikoaeu
dc.contributor.affiliationTechnishche Universität Darmstadt (Alemania)de
dc.contributor.authorAramendía Vidaurreta, Verónica
dc.contributor.departmentIngeniería Eléctrica y Electrónicaes_ES
dc.contributor.departmentIngeniaritza Elektrikoa eta Elektronikoaeu
dc.date.accessioned2013-05-02T11:02:41Z
dc.date.available2013-05-02T11:02:41Z
dc.date.issued2013
dc.description.abstractThis thesis deals with the estimation of blood glucose values from biomedical images. This estimation is related to the chemical reaction between glucose and a chemical reactant. The main goal is to segment the blood sample area from several sets of test measurements. An algorithm based on histograms thresholding and its combination with watershed segmentation is proposed and applied to these images. Furthermore, the kernel density estimator is used, as an alternative to the histogram, to estimate the probability density function of the images. After the identification of the optimal thresholding methods, a general procedure is proposed. This procedure includes image preprocessing, blood sample detection, histogram thresholding, binary masks comparison and a relative remission estimation. Then, using a convergence criterion the convergence value of the chemical reaction is found. Finally, the results are evaluated with respect to both accuracy and computation timeen
dc.description.degreeIngeniería Técnica de Telecomunicación, especialidad Sonido e Imagenes_ES
dc.description.degreeTelekomunikazio Ingeniaritza Teknikoa. Soinua eta Irudia Berezitasunaeu
dc.format.mimetypeapplication/pdfen
dc.identifier.other0000578018es_ES
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/7129
dc.language.isoengen
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.titleA segmentation algorithm for measuring blood glucose in hand-held devicesen
dc.typeinfo:eu-repo/semantics/studentThesis
dspace.entity.typePublication
relation.isAdvisorTFEOfPublication14bdde9e-ab9d-462d-87c3-7da2c7e13976
relation.isAdvisorTFEOfPublication.latestForDiscovery14bdde9e-ab9d-462d-87c3-7da2c7e13976

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