• DocumentCode
    1740909
  • Title

    Line extraction with the use of an automatic gradient threshold technique and the Hough transform

  • Author

    Pires, R.L. ; De Smet ; Bruyland, I.

  • Author_Institution
    Dept. of Telecommun. & Inf. Processing, Ghent Univ., Belgium
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    909
  • Abstract
    We present a method to detect roads and building boundaries on high resolution aerial photographs. These image features are found through the use of a line detection algorithm that is based on the three following steps: first, pre-smoothing, to remove noise and possibly irrelevant small scale details; this is followed by an automatic threshold of the gradient magnitude, thus generating a binary edge map; and in order to detect straight lines, this edge map is then used as the input of the Hough transform. We describe these steps with particular emphasis on the gradient threshold and show typical results obtainable with this method
  • Keywords
    Hough transforms; feature extraction; gradient methods; image resolution; noise; photography; smoothing methods; Hough transform; automatic gradient threshold; binary edge map; building boundaries detection; high resolution aerial photographs; image features; image filtering; line detection algorithm; line extraction; noise removal; pre-smoothing; road detection; Data mining; Ear; Gray-scale; Histograms; Image edge detection; Information processing; Noise generators; Performance analysis; Roads; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.899604
  • Filename
    899604