¹The Department of Electronics and Computer Education, Faculty of Technical Education, Karabük University, Karabük, Turkey.
²Department of Computer Engineering, Faculty of Engineering, Karabük University, Karabük, Turkey.

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Abstract—In this study, we present a road detection method. Proposed method consists of two phases. In the first phase, a binary image is obtained by utilizing greyscale transformation and thresholding processes. In the second phase, K-Nearest Neighbours and Naive Bayes classifiers are applied on image by utilizing colour features. Road and non-road regions are determined and these two classifiers are compared with each other. Google Maps satellite images are used since they are easily accessible on the Internet. C# based software is developed for realizing and testing the methods mentioned above.

Index Terms—K-nearest neighbours, naive bayes, road detection.

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Cite: Şafak Altay Açar, Şafak Bayır, "Road Detection Using Classification Algorithms," Journal of Computers vol. 10, no. 3, pp. 147-154, 2015.