Color Segmentation for Extracting Symbols and Characters of Road Sign Images
| Main Authors: | Soetedjo, Aryuanto, Yamada, Koichi, Limpraptono, F. Yudi |
|---|---|
| Format: | Article PeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2017
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| Subjects: | |
| Online Access: |
http://eprints.itn.ac.id/3706/1/1.%20paper%20icacsis09.pdf http://eprints.itn.ac.id/3706/2/2.%20cek%20plagiasi%20icacsis09.pdf http://eprints.itn.ac.id/3706/3/3.%20peer%20review%20icacsis09.pdf http://eprints.itn.ac.id/3706/ |
Daftar Isi:
- Abstract—This paper presents a color segmentation technique based on the normalized RGB chromaticity diagram for extracting symbols and characters of road sign images. The method separates blue color of the sign’s background by utilizing the developed histogram on the RGB chromaticity diagram for selecting threshold automatically. The morphology operators are used to extract symbols and characters. From the experiments using real scene images with varying illumination, the proposed method could extract symbols and characters of road sign images properly. Index Terms—Color segmentation, RGB chromaticity diagram, objects extraction, guidance sign.