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An Extraction Approach to Building Straight Lines Based on Hough Transform

  • Luo Weiqun
  • Wang Conghua
  • Zhao Erping
  • He Lei
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 126)

Abstract

Detecting lines in a digital image is a crucial step in many applications, such as visual navigation, feature recognition. In this paper, an algorithm which is based on part Hough transform is proposed for extracting straight lines from building image. Firstly, edges are detected based on Canny detector. Secondly, An algorithm that follows image boundary categorizes edges. Thirdly, Hough transformation extracts straight lines to each classification of image. Experiment results shows that the proposed algorithm is better than Hough transform. It can detect lines correctly in building images with high accuracy, low false detection and low missing detection.

Keywords

Image Space Peak Detection Edge Point Hough Transform Collinear Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Luo Weiqun
    • 1
  • Wang Conghua
    • 1
  • Zhao Erping
    • 1
  • He Lei
    • 1
  1. 1.Tibet Institute for NationalitiesSchool of Information EngineeringXianyangChina

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