mk:icannga01

Summary

NeuroHough?: A Neural Network for Computing the Hough Transform. Mario Köppen, Aureli Soria-Frisch and Raul Vicente-Garcia. In Artificial Neural Nets and Genetic Algorithms - Proceedings of the International Conference in Prague, Czech Republic, 2001, pages 197-200, 2001.

Abstract

A new paradigm for the implementation of the Hough Transform (HT) is presented in this paper. The paradigm makes use of the neural networks' properties as function approximators in order to avoid some problems of the standard HT implementation. Some encouraging results are presented.

Bibtex entry

@INPROCEEDINGS { mk:icannga01,
    ABSTRACT = { A new paradigm for the implementation of the Hough Transform (HT) is presented in this paper. The paradigm makes use of the neural networks' properties as function approximators in order to avoid some problems of the standard HT implementation. Some encouraging results are presented. },
    AUTHOR = { Mario Köppen and Aureli Soria-Frisch and Raul Vicente-Garcia },
    BOOKTITLE = { Artificial Neural Nets and Genetic Algorithms - Proceedings of the International Conference in Prague, Czech Republic, 2001 },
    MODIFIED = { 2008-02-28 15:37:18 +0900 },
    EDITOR = { Vera Kurkova and Nigel C.~Steele and Roman Neruda and Miroslav Karny },
    HASABSTRACT = { Yes },
    PAGES = { 197--200 },
    PDF = { icannga01.pdf },
    PUBLISHER = { Springer Computer Science },
    TITLE = { NeuroHough?: A Neural Network for Computing the Hough Transform },
    YEAR = { 2001 },
}