1. İAÜ Açık Erişim
  2. Fakülte ve Yüksekokullar -- Faculties and Schools
  3. Mühendislik Mimarlık Fakültesi --- Faculty Of Engineering And Architecture
  4. MİMARLIK --- ARCHITECTURE
Please use this identifier to cite or link to this item: http://hdl.handle.net/11547/576
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dc.contributor.authorAYDIN, M.-
dc.contributor.authorÇALIK, E.-
dc.contributor.authorİSTANBULLU, M.-
dc.date.accessioned2013-06-04T06:59:23Z-
dc.date.available2013-06-04T06:59:23Z-
dc.date.issued2012-
dc.identifier.citationInternational Journal of Electronics; Mechanical and Mechatronics Engineering Vol:2 Num:2 pp.(190-194), 2012.en_US
dc.identifier.urihttp://hdl.handle.net/11547/576-
dc.language.isoenen_US
dc.publisherInternational Journal of Electronics; Mechanical and Mechatronics Engineeringen_US
dc.subjectTraffic Sign Recognationen_US
dc.subjectVideo Processing Techniqueen_US
dc.titleTraffic Sign Recognation With Video Processing Technique.en_US
dc.typeArticleen_US
Appears in Collections:MİMARLIK --- ARCHITECTURE

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