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Edge Detection with Neuro-Fuzzy Approach in Digital Synthesis Images
Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.070448
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 4, 2016.
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
Fatma ZRIBI and Noureddine ELLOUZE, “Edge Detection with Neuro-Fuzzy Approach in Digital Synthesis Images” International Journal of Advanced Computer Science and Applications(IJACSA), 7(4), 2016. http://dx.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},
doi = {10.14569/IJACSA.2016.070448},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070448},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {4},
author = {Fatma ZRIBI and Noureddine ELLOUZE}
}
