Using gradient information to enhance the progressive probabilistic hough transform

Proceedings - International Conference on Pattern Recognition

Volumn 15, Issue 3, 2000, Pages 560-563

  Galambos, C ^a,b   Kittler, J ^a   Matas, J ^b  

^a UNIVERSITY OF SURREY   (United Kingdom)

^b CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

HOUGH TRANSFORMS; IMAGE PROCESSING; SPEECH RECOGNITION;

ANGLE INFORMATION; GRADIENT INFORMATIONS; PROGRESSIVE PROBABILISTIC HOUGH TRANSFORM(PPHT); STANDARD HOUGH TRANSFORMS; VOTING PROCESS;

INFORMATION USE;

EID: 33750910020     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (6)

1. C. Galambos, J. Matas, and J. Kittler. Progressive probabilistic Hough Transform for line detection. In Computer Vision and Pattern Recognition, pages 554-560, Los Alamitos, California, June 1999. IEEE Computer Society.
2. J. Illingworth and J. Kittler. A survey of the Hough Transform. Computer Vision, Graphics and Image Processing, 44:87-116, 1988.
3. H. Kalviainen, P. Hirvonen, L. Xu, and E. Oja. Probabilistic and nonprobabilistic Hough Transforms - overview and comparisons. Image And Vision Computing, 13(4):239-252, 1995.
4. N. Kiryati, Y. Eldar, and A. M. Bruckstein. A probabilistic Hough Transform. Pattern Recognition, 24(4):303-316, 1991.
5. J. Matas, C. Galambos, and J. Kittler. Progressive probabilistic Hough Transform. In M. S. Nixon, editor, Proc British Machine Vision Conference BMVC98, volume 1, pages 256-265, London, UK, September 1998. University of Southampton, British Machine Vision Association.
6. P. L. Palmer, J. Kittler, and M. Petrou. Using focus of attention with the Hough Transform for acccurate line parameter estimation. Pattern Recognition, 27:1127-1133, 9 1994.