Generating connected textured fractal patterns using Markov random fields

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dc.citation.epage825en_US
dc.citation.issueNumber8en_US
dc.citation.spage819en_US
dc.citation.volumeNumber13en_US
dc.contributor.authorOnural, L.en_US
dc.date.accessioned2016-02-08T10:56:01Z
dc.date.available2016-02-08T10:56:01Z
dc.date.issued1991en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractAn algorithm that yields textured and connected binary fractals is presented. The texture is imposed by modeling the fractal as a Markov random field (MRF) at every resolution level. The model size and the parameters specify the texture. The generation starts at a coarser level and continues at finer levels. Connectivity, which is a global property, is maintained by restricting the flow of the sample generating Markov chain within a limited subset of all possible outcomes of the Markov random field. The texture is controlled by the parameters of the MRF model being used. Sample patterns are shown.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:56:01Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1991en
dc.identifier.doi10.1109/34.85673en_US
dc.identifier.issn0162-8828
dc.identifier.urihttp://hdl.handle.net/11693/26170
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/34.85673en_US
dc.source.titleIEEE Transactions on Pattern Analysis and Machine Intelligenceen_US
dc.subjectComputer Programming - Algorithmsen_US
dc.subjectProbability - Random Processesen_US
dc.subjectFractalsen_US
dc.subjectImage Texture Analysisen_US
dc.subjectMarkov Random Fieldsen_US
dc.subjectTextured Fractal Patternsen_US
dc.subjectImage Processingen_US
dc.titleGenerating connected textured fractal patterns using Markov random fieldsen_US
dc.typeArticleen_US

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