Prohlížení katedra kybernetiky dle autora "Galambos, C."
-
Gradient based progressive probabilistic Hough transform
Autor: 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
Autor: 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
Autor: 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 ...