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Dergiler / International Journal of Electronics Mechanical and Mechatronics Engineering / 2026 / Cilt: 2 Sayı: 2

TRAFFIC SIGN RECOGNATION WITH VIDEO PROCESSING TECHNIQUE

Musa Aydın
Esra Calık
Mustafa Istanbullu
Sayfa
190–194
Yayın Tarihi
2012-12-01
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The target traffic sign are recognized in the video image with the developed program

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In this study, traffic signs are aimed to be recognized and identified from a video image which is taken through a video camera.
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Temel Bulgular & Veri:To accomplish our aim, a traffic sign recognition program has been developed in MATLAB/Simulink environment.
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Sonuç & Katkı:The target traffic sign are recognized in the video image with the developed program
🔬Tür:Makale
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Vıdeo Processing · Pixel Labeling · Template Matching

Abstract

In this study, traffic signs are aimed to be recognized and identified from a video image which is taken through a video camera. To accomplish our aim, a traffic sign recognition program has been developed in MATLAB/Simulink environment. The target traffic sign are recognized in the video image with the developed program

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Bu Makaleye Atıf Yap

Aydın, M., Calık, E., Istanbullu, M. (2012). TRAFFIC SIGN RECOGNATION WITH VIDEO PROCESSING TECHNIQUE. International Journal of Electronics Mechanical and Mechatronics Engineering, Cilt: 2 Sayı: 2, 190–194. https://ajindex.com/articles/1643592

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Kaynakça (11)

  1. umler/goruntuisleme(03/02/2010) [2]
  2. goruntu-isleme.html(03/02/2010) [3]
  3. Sign Recognition”, Term Paper, Computer
  4. Perceptionwith Artificial Intelligence,
  5. University of Applied Sciences, Biel, Switzerland
  6. P., Campani, M., 1996. “Robust Method for Road SignDetection and Recognition”, Image and Vision Computing 14, pp.208-223
  7. Nitzberg,M., 1998. “Using Color to Detect, Localize and Identify Informational Signs”, Proc. International Conference on Computer Vision ICCV98, Bombay,India, pp. 628-633.
  8. Salichs, M.A., and Amingol, J.M., 1997. "Road
  9. Classification," IEEE Transactions Industrial Electronics, 44, pp. 848-859 Detection
  10. and [7] p/11.0/.html (03/02/2010)
  11. Yizhuang Yang. A CAMERA BASED SPEED LIMIT SIGN RECOGNITION SYSTEM pages 4 [9] ection