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dc.contributor.authorPattichis, Marios S.en
dc.contributor.authorChristodoulou, Christodoulos I.en
dc.contributor.authorPattichis, Constantinos S.en
dc.contributor.authorBovik, Alan Conraden
dc.creatorPattichis, Marios S.en
dc.creatorChristodoulou, Christodoulos I.en
dc.creatorPattichis, Constantinos S.en
dc.creatorBovik, Alan Conraden
dc.date.accessioned2019-11-13T10:41:57Z
dc.date.available2019-11-13T10:41:57Z
dc.date.issued1997
dc.identifier.isbn0-7803-4122-8
dc.identifier.isbn978-0-7803-4122-7
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54818
dc.description.abstractWe present a novel method for segmenting non-stationary textures. Our approach uses a multidimensional AM-FM representation for the texture, and provides the FM features to an SOFM-LVQ neural network system that performs the segmentation. For the segmentation, we use the eigenvalues of the instantaneous frequency gradient tensoren
dc.description.abstractand show how these eigenvalues capture the non-stationary structure of a texture. For a woodgrain image, the segmentation results are shown to capture the essential non-stationary nature of the grain. © 1997 IEEE.en
dc.sourceIEEE International Conference on Neural Networks - Conference Proceedingsen
dc.source1997 IEEE International Conference on Neural Networks, ICNN 1997en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-0030721332&doi=10.1109%2fICNN.1997.614124&partnerID=40&md5=2ad10dca6f4156e7ae78e02955709397
dc.subjectVector quantizationen
dc.subjectNeural networksen
dc.subjectEigenvaluesen
dc.subjectEigenvalues and eigenfunctionsen
dc.subjectConformal mappingen
dc.subjectTensorsen
dc.subjectFrequency modulationen
dc.subjectTexturesen
dc.subjectNonstationaryen
dc.subjectImage segmentationen
dc.subjectAmplitude modulationen
dc.subjectInstantaneous frequencyen
dc.subjectImage qualityen
dc.subjectSegmentation resultsen
dc.subjectAM-FM modelsen
dc.subjectNeural network systemsen
dc.subjectNonstationary texture segmentationen
dc.subjectTexture segmentationen
dc.titleNon-stationary texture segmentation using an AM-FM modelen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/ICNN.1997.614124
dc.description.volume3
dc.description.startingpage1552
dc.description.endingpage1557
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Conference code: 101939en
dc.description.notesCited By :4</p>en
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.contributor.orcidPattichis, Marios S. [0000-0002-1574-1827]
dc.gnosis.orcid0000-0003-1271-8151
dc.gnosis.orcid0000-0002-1574-1827


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