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Author:

Chen, S. (Chen, S..) | Liu, Z. (Liu, Z..)

Indexed by:

Scopus

Abstract:

An image processing method of solving the problem of the interference caused by the edge features of road markings lines when recognizing road boundaries by edge detection was proposed. The results detected by the edge detection algorithm were used to process gray road image line by line. The gray values near the point where edges pass by the line were determined and modified to reduce the edge features of road marking lines while retaining the edge features of real boundaries of the road. Additionally, a road boundary recognition system based on edge detection was built to test the method. The validity and real-time performance of the proposed method were verified by using more than 130 road images as input. Experimental results show that the proposed method can effectively eliminate the interference of road marking lines on road boundary detection techniques based on edge detection. © 2021, Editorial Department of Journal of Beijing University of Technology. All right reserved.

Keyword:

K-means clustering Road marking line Radial blur Road recognition Edge detection Image processing

Author Community:

  • [ 1 ] [Chen S.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Liu Z.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2021

Issue: 12

Volume: 47

Page: 1330-1337

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 18

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