Now showing items 1-3 of 3

    • Gradient based progressive probabilistic Hough transform 

      Author: Galambos, C.; Kittler, J.; Matas, J.
      (IEEE/IET, 2001-06)
      The authors look at the benefits of exploiting gradient information to enhance the progressive probabilistic Hough transform (PPHT). It is shown that using the angle information in controlling the voting process and in ...
    • Progressive Probabilistic Hough Transform for line detection 

      Author: Galambos, C.; Matas, J.; Kittler, J.
      (IEEE, 1999)
      We present a novel Hough Transform algorithm referred to as Progressive Probabilistic Hough Transform (PPHT). Unlike the Probabilistic HT where Standard HT is performed on a pre-selected fraction of input points, PPHT ...
    • Using gradient information to enhance the Progressive Probabilistic Hough Transform 

      Author: Galambos, C.; Kittler, J.; Matas, J.
      (IEEE, 2000)
      In this paper we look at the benefits to be gained in using gradient information to enhance the progressive probabilistic Hough transform (PPHT). It is shown how using the angle information in controlling the voting process ...