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Road Detection by Boundary Extraction Technique and Hough Transform

  • Namboodiri Sandhya Parameswaran
  • E. Revathi Achan
  • V. Subhashree
  • R. ManjushaEmail author
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)

Abstract

Visual perception of road images captured by cameras mounted within a vehicle is the main element of an autonomous vehicle system. Road detection plays a vital role in a visual routing system for a self-governing vehicle. Effective detection of roads under varying illumination conditions plays a vital role to prevent majority of the road accidents that occur currently. In the current study, a new method using “boundary extraction” technique along with “Hough transform” is proposed for effective road detection. Here, two different algorithms, one using “Canny edge detection” and “Hough transform” and another using “boundary extraction” technique and “Hough transform” were implemented and tested on the same dataset. The comparison of the results of both the techniques showed that the algorithm using “boundary extraction” technique worked better than that which used “Canny edge” detection technique.

Keywords

Image processing Boundary extraction Hough transform Canny edge detection Image processing 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Namboodiri Sandhya Parameswaran
    • 1
  • E. Revathi Achan
    • 1
  • V. Subhashree
    • 1
  • R. Manjusha
    • 1
  1. 1.Department of Computer Science and EngineeringAmrita School of EngineeringCoimbatoreIndia

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