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Jurnal SINTA 2

SEGMENTASI WARNA UNTUK EKSTRAKSI SIMBOL DAN KARAKTER PADA CITRA RAMBU LALU LINTAS

Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 3 No. 1 (2012) · pp. 18–24

DOI
10.21609/jiki.v3i1.137
ISSN
2502-9274, 2088-7051
Published
2012-05-29
Publisher
Faculty of Computer Science - Universitas Indonesia
Language
eng

Abstract

Penelitian ini membahas teknik segmentasi warna berbasis RGB Chromaticity Diagram ternormalisasi, untuk ekstraksi simbol dan karakter pada citra rambu lalu lintas. Teknik yang diusulkan adalah memisahkan warna biru pada latar belakang rambu petunjuk lalu lintas. Hal tersebut dilakukan dengan memanfaatkan histogram yang dikembangkan pada diagram kromatisitas untuk penentuan nilai ambang segmentasi secara otomatis. Selain itu, teknik morfologi citra dan proyeksi histogram digunakan untuk ekstraksi simbol dan karakter. Dari hasil eksperimen diperoleh bahwa teknik yang diusulkan dapat mengekstrak simbol dan karakter dengan rata-rata ekstraksi 97.3%. This research describes a normalized color segmentation technique based on RGB Chromaticity Diagram, for the extraction of symbols and characters in the image of the traffic signs. The proposed technique is to separate the blue color of the background traffic signs. This is done by using a histogram that was developed in the chromaticity diagram for the determination of the threshold value segmentation automatically. In addition, the image morphology technique and projection histogram are used for the extraction of symbols and characters. From the experimental results obtained that the proposed technique can extract symbols and characters with an average extraction is 97.3%.

Keywords

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Metadata source: OAI-PMH (metadata jurnal) https://jiki.cs.ui.ac.id/index.php/jiki/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">SEGMENTASI WARNA UNTUK EKSTRAKSI SIMBOL DAN KARAKTER PADA CITRA RAMBU LALU LINTAS</dc:title>
	<dc:creator>Sutedjo, Aryuanto</dc:creator>
	<dc:creator>Limpraptono, F. Yudi</dc:creator>
	<dc:creator>Yamada, Koichi</dc:creator>
	<dc:subject xml:lang="en-US">citra rambu lalu lintas</dc:subject>
	<dc:subject xml:lang="en-US">ekstrasi objek</dc:subject>
	<dc:subject xml:lang="en-US">RGB chromaticity diagram</dc:subject>
	<dc:subject xml:lang="en-US">segmentasi warna</dc:subject>
	<dc:subject xml:lang="en-US">color segmentation</dc:subject>
	<dc:subject xml:lang="en-US">image traffic signs</dc:subject>
	<dc:subject xml:lang="en-US">object extraction</dc:subject>
	<dc:description xml:lang="en-US">Penelitian ini membahas teknik segmentasi warna berbasis RGB Chromaticity Diagram ternormalisasi, untuk ekstraksi simbol dan karakter pada citra rambu lalu lintas. Teknik yang diusulkan adalah memisahkan warna biru pada latar belakang rambu petunjuk lalu lintas. Hal tersebut dilakukan dengan memanfaatkan histogram yang dikembangkan pada diagram kromatisitas untuk penentuan nilai ambang segmentasi secara otomatis. Selain itu, teknik morfologi citra dan proyeksi histogram digunakan untuk ekstraksi simbol dan karakter. Dari hasil eksperimen diperoleh bahwa teknik yang diusulkan dapat mengekstrak simbol dan karakter dengan rata-rata ekstraksi 97.3%.

This research describes a normalized color segmentation technique based on RGB Chromaticity Diagram, for the extraction of symbols and characters in the image of the traffic signs. The proposed technique is to separate the blue color of the background traffic signs. This is done by using a histogram that was developed in the chromaticity diagram for the determination of the threshold value segmentation automatically. In addition, the image morphology technique and projection histogram are used for the extraction of symbols and characters. From the experimental results obtained that the proposed technique can extract symbols and characters with an average extraction is 97.3%.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Computer Science  - Universitas Indonesia</dc:publisher>
	<dc:date>2012-05-29</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/137</dc:identifier>
	<dc:identifier>10.21609/jiki.v3i1.137</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmu Komputer dan Informasi; Vol. 3 No. 1 (2010): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information); 18-24</dc:source>
	<dc:source>2502-9274</dc:source>
	<dc:source>2088-7051</dc:source>
	<dc:source>10.21609/jiki.v3i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/137/255</dc:relation>
</oai_dc:dc>