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 |

Edge Detection with Neuro-Fuzzy Approach in Digital Synthesis Images

Author 1: Fatma ZRIBI Author 2: Noureddine ELLOUZE
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 4 · Published 2016

DOI: https://doi.org/10.14569/IJACSA.2016.070448

Download PDF Cite Call for Papers

Abstract

This paper presents an enhanced Neuro-Fuzzy (NF) Approach of edge detection with an analysis of the characteristic of the method. The specificity of our method is an enhancement of the learning database of the diagonal edges compared to the original learning database. The original inspired NF edge detection model uses just one image learning database realized by Emin Yuksel. The tests are accomplished in synthesis images with a noised one of 20% of Gaussian noise.

Keywords

Neuro-Fuzzy learning databases Gaussian noise synthesis images

How to Cite this Article

ZRIBI, F., & ELLOUZE, N. (2016). Edge Detection with Neuro-Fuzzy Approach in Digital Synthesis Images. International Journal of Advanced Computer Science and Applications, 7(4). https://doi.org/10.14569/IJACSA.2016.070448

ZRIBI, Fatma, and Noureddine ELLOUZE. "Edge Detection with Neuro-Fuzzy Approach in Digital Synthesis Images." International Journal of Advanced Computer Science and Applications, vol. 7, no. 4, 2016, https://doi.org/10.14569/IJACSA.2016.070448.

@article{ZRIBI2016,
  title     = {Edge Detection with Neuro-Fuzzy Approach in Digital Synthesis Images},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {4},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Fatma ZRIBI and Noureddine ELLOUZE},
  doi       = {10.14569/IJACSA.2016.070448},
  url       = {https://doi.org/10.14569/IJACSA.2016.070448}
}

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