Generation and parameter estimation of Markov random field textures and a parallel network for texture generation

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buir.advisorOnural, Levent
dc.contributor.authorGürelli, Mehmet İzzet
dc.date.accessioned2016-01-08T20:09:07Z
dc.date.available2016-01-08T20:09:07Z
dc.date.issued1990
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionAnkara : The Department of Electrical and Electronics Engineering and Institute of Engineering and Science of Bilkent Univ. , 1990.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 1990.en_US
dc.descriptionIncludes bibliographical references leaves 77-79.en_US
dc.description.abstractIn this thesis, a special class of Markov random fields (MRF), which is defined on two dimensional pixel arrays and represented by a few numbers called the MRF parameters, is studied as a texture model. Specifically, the generation of sample MRF textures and estimation of MRF texture parameters are considered. For the generation of sample MRF textures, an algorithm that can be implemented in a parallel manner is developed together with a parallel network which implements the algorithm. A mathematical description of the algorithm, based on finite state Markov chains is given and the structure of the network is explained. For the estimation of MRF texture parameters, a method based on histogramming of a sample MRF texture is studied cind a mathematical justification of the. method is given. Generation and parameter estimation methods studied in this thesis are tested by some computer programs and the results are observed to be satisfactory for many purposes.en_US
dc.description.degreeM.S.en_US
dc.description.statementofresponsibilityGürelli, Mehmet İzzeten_US
dc.format.extentxv, 99 leaves, illustrationsen_US
dc.identifier.urihttp://hdl.handle.net/11693/17310
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMarkov random fieldsen_US
dc.subjectGibbs random fieldsen_US
dc.subjectTexture modelingen_US
dc.subjectİmage modelingen_US
dc.subjectParallel networksen_US
dc.subject.lccQA274.45 .G979 1990en_US
dc.subject.lcshRandom fields.en_US
dc.subject.lcshMarkov processes.en_US
dc.subject.lcshParameter estimation.en_US
dc.subject.lcshStochastic systems.en_US
dc.titleGeneration and parameter estimation of Markov random field textures and a parallel network for texture generationen_US
dc.typeThesisen_US

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Dept. of Electrical and Electronics Engineering - Master's degree