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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/4775
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dc.contributor.authorKwan, Paul Hingen
dc.contributor.authorToraichi, Ken
local.source.editorEditor(s): Hsing-Wei Chu, Michael Savoie, Kazuo Toraichi, Paul Kwanen
dc.date.accessioned2010-02-24T15:59:00Z-
dc.date.issued2004-
dc.identifier.citationProceedings of the International Conference on Computing, Communications and Control Technologies: CCCT 2004, v.III, p. 7-12en
dc.identifier.isbn9789806560178en
dc.identifier.isbn9806560175en
dc.identifier.urihttps://hdl.handle.net/1959.11/4775-
dc.description.abstractIn this paper, an encoding framework of road map information based on automatic Fluency function approximation of thin line images developed in a recent research is introduced. Road map images having multiple structural elements are stratified into layers of 1bit/pixel images based on color. Each of these layers is processed in stages of adaptive pixel sequence tracing, connectivity restoration, and eventually function approximation. In our experiments, numerical maps of 1/200000 scale obtained from the Geographical Survey Institute of Japan are used. The experimental results confirmed the proposed framework is able to encode the numerical map images in which the visual quality is maintained upon decoding. This framework can be a useful preprocessing step in R&D of high quality GIS applications.en
dc.languageenen
dc.publisherInternational Institute of Informatics and Systemics (IIIS)en
dc.relation.ispartofProceedings of the International Conference on Computing, Communications and Control Technologies: CCCT 2004en
dc.titleAutomatic Road Map Encoding by Fluency Function Approximation of Thin Line Imagesen
dc.typeConference Publicationen
dc.relation.conferenceCCCT 2004: 2nd International Conference on Computing, Communications and Control Technologiesen
dc.subject.keywordsImage Processingen
local.contributor.firstnamePaul Hingen
local.contributor.firstnameKen
local.subject.for2008080106 Image Processingen
local.subject.seo2008899999 Information and Communication Services not elsewhere classifieden
local.profile.schoolSchool of Science and Technologyen
local.profile.emailwkwan2@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordpes:1768en
local.date.conference14th - 17th August, 2004en
local.conference.placeAustin, United States of Americaen
local.publisher.placeAustin, United States of Americaen
local.format.startpage7en
local.format.endpage12en
local.identifier.volumeIIIen
local.contributor.lastnameKwanen
local.contributor.lastnameToraichien
dc.identifier.staffune-id:wkwan2en
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:4891en
dc.identifier.academiclevelAcademicen
local.title.maintitleAutomatic Road Map Encoding by Fluency Function Approximation of Thin Line Imagesen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.relation.urlhttp://turing.une.edu.au/~kwan/publications/pdf/map-encoding-CCCT04.pdfen
local.conference.detailsCCCT 2004: 2nd International Conference on Computing, Communications and Control Technologies, Austin, United States of America, 14th - 17th August, 2004en
local.search.authorKwan, Paul Hingen
local.search.authorToraichi, Ken
local.uneassociationUnknownen
local.year.published2004en
local.date.start2004-08-14-
local.date.end2004-08-17-
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