COMBINATION OF HOUGH TRANSFORM AND CANNY EDGE DETECOR FOR IMPROVEMENT OF LINEAR OBECT DETECTION RESULTS

M. P. Mukhina, V. Yu. Derkach, A. P. Prymak

Abstract


Hough transform together with Canny edge detector are proposed to use for road lines detection at different weather conditions at various places. Canny operator is used for edge detection on image, then Hough transformation is applied for the detection of extended objects. Proposed testing of such combination of two methods is done on datasets of frames from the UAV benchmark. The goal of this research is to obtain comparative results of Hough transform use effectiveness at different conditions and to develop set of recommendations for the implementation of the proposed software for automatic detection of lines in the image in order to identify the roadway and improve the effectiveness of further recognition of ground moving objects. The research was implemented with the help of means of Python 3.6 language in the environment of Anaconda, Skicit image library.


Keywords


Image processing; Hough transform; Hough space; line detection; Canny detection

References


P. Mukhopadhyay and B. B. Chaudhuri, A survey of Hough Transform, Pattern Recognition, 2014.

Satbir Kaur and Ishpreet Singh, “Comparison between Edge Detection Techniques,” International Journal of Computer Applications, vol. 145, no.15, July 2016.

J. A Canny, “Computational Approach to Edge Detection,” IEEE Trans. Pattern Analysis and Machine Intelligence, 1986, pp. 679–698.

Du. Dawei, Yuankai Qi, Hongyang Yu, Yifan Yang, Kaiwen Duan, Guorong Li, Weigang Zhang, Qingming Huang, Qi Tian, “The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking,” arXiv:1804.00518v1 [cs.CV] 26 Mar 2018

N. Kiryati, Y. Eldar, and A. M. Bruckstein, “A probabilistic Hough Transform,” Pattern Recognit. 24(4), 1991, pp. 303–316.


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