Combination of Hough Transform and Canny Edge Detecor for Improvement of Linear Obect Detection Results

UDC 681.5(045) DOI:10.18372/1990-5548.58.13515

  1. M. P. Mukhina, V. Yu. Derkach, A. P. Prymak. Combination of Hough Transform and Canny Edge Detecor for Improvement of Linear Obect Detection Results // Electronics and Control Systems, N 4(58) – Kyiv: NAU, 2018. – pp. 89–94.

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 unmanned aerial vehicle 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.

Index Terms—Image processing; Hough transform; Hough space; line detection; Canny detection.

References: 5 name.