Identification of Vehicle Design and Transition of Traffic Signs with Image Processing Method

Year 2018, Volume: 8 Issue: 2, 1555 - 1569, 16.04.2018

Metin Bılgın , Zekeriya Zeybek

Abstract

Abstract - Automobiles which are the most intensive and preferred means of transportation in all time, have many innovations

and features based on the comfort, security and satisfaction of the users. It would be an ideal solution to develop a system that

can alert drivers and intervene when needed given the sudden illness seizures that drivers experience in case of an accident. With

the object recognition method, traffic signs, warning flashers and passages on the route are detected and the back panel is

processed in milliseconds to warn the driver.

In this study, image processing methods are applied in order to create a prototype of an autonomous vehicle by establishing a fast

and stable decision making mechanism.

Keywords

Traffic sign recognition and detection, color segmentation

References

• [1] Catalbas, Mehmet Cem, Didem Issever, and Arif Gulten. "Morphological feature extraction with local histogram equalization." Signal Processing and Communications Applications Conference (SIU), 2015 23th. IEEE, 2015. [2] A Medium Corporation, Python ile Görüntü İşleme: Histogram, Normalleştirilmiş Histogram ve Histogram Eşitleme, Erişim: 10.05.2018. (https://medium.com/@sddkal/python-ile-g%C3%B6r%C3%BCnt%C3%BC - i%CC%87%C5%9Fleme-histogram-normalle%C5%9Ftirilmi%C5%9F-histogram-ve-histogram-e%C5%9Fitleme- 3d0052174f1f) [3] OpenCV-Python Tutorials, Histograms - 2: Histogram Equalization Erişim: 10.05.2018. (http://opencv-python tutroals.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_histograms/py_histogram_equalization/py_histogram_ equalization.html#histograms-2-histogram-equalization) [4]Delibaşoğlu, İbrahim, “HSV renk uzayı, Renk filtreleme”, Erişim: 10.05.2018. (http://ibrahimdelibasoglu.blogspot.com.tr/2016/11/ hsv-renk-uzay.html) [5] Python Programming Tutorials, Blurring and Smoothing OpenCV Python Tutorial, Erişim: 10.05.2018. (https://pythonprogramming.net/blurring-smoothing-python-opencv-tutorial/) [6] Viola, Paul, and Michael Jones. "Rapid object detection using a boosted cascade of simple features." Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on. Vol. 1. IEEE, 2001. [7] Nguyen-Dinh, Long-Van, et al. "Improving online gesture recognition with template matching methods in accelerometer data." Proc. Int. Conf. Intelligent Systems Design and Applications (ISDA). 2012. [8] Open Source Computer Vision, Template Matching, Erişim: 10.05.2018. (https://docs.opencv.org/trunk/d4/dc6/tutorial_py_template_matching.html) [9] Python Programming, "Creating your own Haar Cascade OpenCV Python Tutorial", Erişim:10.05.2018. (https://pythonprogramming.net/haar-cascade-object-detection-python-opencv-tutorial/) [10] Nabiyev, Vasif V., and Asuman Günay. "LBP yardımıyla görüntüdeki kişinin yaşının bulunması." Cankaya University Journal of Science and Engineering 8.1 (2010). [11] Emrullah, A. C. A. R., and Mehmet Siraç Özerdem. "Tarımsal İmge Dokularından HOG Algoritması ile Öznitelik Çıkarımı ve Öznitelik Tabanlı Toprak Neminin Tahmini." Anatolian Science-Bilgisayar Bilimleri Dergisi 1.1: 1-7. [12] Talha Koç, Opencv Haar Cascade Sınıflandırıcısı Eğitimi, Erişim: 10.05.2018.(http://talhakoc.net/opencvhaarcascade- siniflandirici-egitimi/)