DETECTION OF COMMAND SIGNS ON THE ROAD USING EUCLIDEAN COLOR FILTERING

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Rizal Pebianto
Adriana Fanggidae
Yulianto Triwahyuadi Polly

Abstract

Command signs are one of the types of traffic signs that we often encounter when driving on the road and are used to express some commands while driving. A distinctive feature of command signs is that they have a blue background color. Driver negligence in paying attention to the presence of command signs on the road can result in accidents. There needs to be a system that can detect command signs on the road as a solution. The command sign detection process uses the Euclidean Color Filtering method to filter colors and BLOB to look for interconnected pixels. The RGB color center values ​​(10,110,200) and the radius range [90, 150] are used in the color filter stage with Euclidean Color Filtering. The system was tested on 150 images of primary data and 25 images of secondary data. Primary data collection was carried out in the morning, afternoon, and evening with a distance of 5–10 meters and 10–15 meters. The system's average accuracy of command sign detection in testing primary data is 90.67%, and secondary data is 76%, so the average accuracy of the whole system is 88.5%. System failure in detecting the presence of command signs on the road is due to insufficient or excessive lighting conditions, signs blocked by other objects, angles that are too tilted, and signs adjoining other things with the same color or close to the background color.

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How to Cite
[1]
R. Pebianto, A. Fanggidae, and Y. Polly, “DETECTION OF COMMAND SIGNS ON THE ROAD USING EUCLIDEAN COLOR FILTERING”, jicon, vol. 9, no. 2, pp. 189-195, Oct. 2021.
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References

[1] A. R. Himamunanto and S. Tora, “Alogaritma Quatree Untuk Segmentasi Citra Digital Rambu Lalu Lintas,” Jurnal Infact, vol. 1, no. 2, p. 9, Nov. 2016.
[2] O. R. Sitanggang, H. Fitriyah, and F. Utaminingrum, “Sistem Deteksi dan Pengenalan Jenis Rambu Lalu Lintas Menggunakan Metode Shape Detection Pada Raspberry Pi,” Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 2, no. 12, pp. 6108–6117, Dec. 2018.
[3] H. Fleyeh, “Color detection and segmentation for road and traffic signs,” in IEEE Conference on Cybernetics and Intelligent Systems, 2004., Singapore, 2004, vol. 2, pp. 809–814. doi: 10.1109/ICCIS.2004.1460692.
[4] S. Wali, “Shape Matching and Color Segmentation Based Traffic Sign Detection System,” ELECTROTECHNICAL REVIEW, vol. 1, no. 1, pp. 38–42, Jan. 2015, doi: 10.15199/48.2015.01.06.
[5] M. E. Baz, T. Zaki, and H. Douzi, “Red Color Segmentation based Traffic Signs Detection,” International Journal on Emerging Technologies, vol. 11, no. 5, pp. 121–127, 2020.
[6] F. Santi Wahyuni, “Penerapan BLOB (Binary Large Object) Analysis Pada Sistem Pengenalan Rambu-Rambu Lalu Lintas,” mnemonic, vol. 1, no. 2, pp. 62–66, Dec. 2019, doi: 10.36040/mnemonic.v1i2.40.
[7] D. Avianto and W. S. Utami, “Segmentasi Berbasis Warna Pada Plat Nomor Kendaraan Umum Di Indonesia,” presented at the Seminar Nasional Teknologi Informasi, Jakarta, 2017.
[8] A. Basu and A. Mukherjee, “Automated Elephant Tracker,” International Journal of Electronics and Communication Engineering, vol. 6, no. 1, pp. 17–22, Jan. 2015.
[9] R. Efendi, E. P. Purwandari, and E. T. Mareta, “Segmentasi Warna Untuk Pendeteksian Rambu Lalu Lintas,” in Inovasi dan Teknologi untuk Pembangunan Indonesia Berkelanjutan, Bengkulu, Sep. 2018, p. 6. [Online]. Available: http://senitia.ft.unib.ac.id/prosiding/2018f-1-18-rusdi-efendi/
[10] N. Sarashadarti, B. Hidayat, and Suhardjo, “Sintesa Penelitian Deteksi Kista Periapikal Radiograf Dengan Metode Binary Large Object (BLOB) Dan Metode Gray Level Co- Occurence Matrix (GLCM),” e-Proceeding of Engineering, vol. 5, no. 3, p. 5538, Dec. 2018.

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