This paper presents a new method which extends
the Standard Hough Transform for the recognition of naive or
standard line in a noisy picture. The proposed idea conserves the
power of the Standard Hough Transform particularly a limited
size of the parameter space and the recognition of vertical lines.
The dual of a segment, and the dual of a pixel have been proposed
to lead to a new definition of the preimage. Many alternatives
of approximation could be established for the sinusoid curves of
the dual of a pixel to get new algorithms of line recognition.
%0 Journal Article
%1 IJACSA.2013.040339
%A Abdoulaye SERE Oumarou SIE, Eric ANDRES
%D 2013
%J International Journal of Advanced Computer Science and Applications(IJACSA)
%K discrete hough; recognition; transform;
%N 3
%T Extended Standard Hough Transform for Analytical Line Recognition
%U http://ijacsa.thesai.org/
%V 4
%X This paper presents a new method which extends
the Standard Hough Transform for the recognition of naive or
standard line in a noisy picture. The proposed idea conserves the
power of the Standard Hough Transform particularly a limited
size of the parameter space and the recognition of vertical lines.
The dual of a segment, and the dual of a pixel have been proposed
to lead to a new definition of the preimage. Many alternatives
of approximation could be established for the sinusoid curves of
the dual of a pixel to get new algorithms of line recognition.
@article{IJACSA.2013.040339,
abstract = {This paper presents a new method which extends
the Standard Hough Transform for the recognition of naive or
standard line in a noisy picture. The proposed idea conserves the
power of the Standard Hough Transform particularly a limited
size of the parameter space and the recognition of vertical lines.
The dual of a segment, and the dual of a pixel have been proposed
to lead to a new definition of the preimage. Many alternatives
of approximation could be established for the sinusoid curves of
the dual of a pixel to get new algorithms of line recognition.},
added-at = {2014-02-21T08:00:08.000+0100},
author = {{Abdoulaye SERE Oumarou SIE}, Eric ANDRES},
biburl = {https://www.bibsonomy.org/bibtex/2fe6d66043afd446aeee1cfa8314cbfa4/thesaiorg},
interhash = {6af41c6e949eb6668a21a850a868c105},
intrahash = {fe6d66043afd446aeee1cfa8314cbfa4},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA)},
keywords = {discrete hough; recognition; transform;},
number = 3,
timestamp = {2014-02-21T08:00:08.000+0100},
title = {{Extended Standard Hough Transform for Analytical Line Recognition}},
url = {http://ijacsa.thesai.org/},
volume = 4,
year = 2013
}