Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us
Research Article | Open Access |

Extended Standard Hough Transform for Analytical Line Recognition

Author 1: Abdoulaye SERE Author 2: Oumarou SIE Author 3: Eric ANDRES
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 4, No. 3 · Published 2013 · Cited by 7

DOI: https://doi.org/10.14569/IJACSA.2013.040339

Download PDF Cite Call for Papers

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.

Keywords

hough transform recognition discrete

How to Cite this Article

SERE, A., SIE, O., & ANDRES, E. (2013). Extended Standard Hough Transform for Analytical Line Recognition. International Journal of Advanced Computer Science and Applications, 4(3). https://doi.org/10.14569/IJACSA.2013.040339

SERE, Abdoulaye, et al.. "Extended Standard Hough Transform for Analytical Line Recognition." International Journal of Advanced Computer Science and Applications, vol. 4, no. 3, 2013, https://doi.org/10.14569/IJACSA.2013.040339.

@article{SERE2013,
  title     = {Extended Standard Hough Transform for Analytical Line Recognition},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {4},
  number    = {3},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Abdoulaye SERE and Oumarou SIE and Eric ANDRES},
  doi       = {10.14569/IJACSA.2013.040339},
  url       = {https://doi.org/10.14569/IJACSA.2013.040339}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Back to Issue
IJACSA Journal Cover

IJACSA