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2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT) (2012)
Kuala Lumpur
Nov. 26, 2012 to Nov. 28, 2012
ISBN: 978-1-4673-5832-3
pp: 388-392
ABSTRACT
This paper presents a fuzzy logic based filter with the capability of removing pepper-and-salt noise and smoothing Gaussian noise to keep edges and details of image simultaneously and effectively. In order to gain these three purposes for image enhancement, we first expand filters that have strong abiliity of keeping the details of edges and do not perform well in Guassian noise smoothing. Then we change the filters in a way that they would be able to perform these three enhancement operations on images. These filters are based on the idea that single pixels should not be excited (fired) uniformly by each of fuzzy rules. In order to demonstrate the capabilities of this filtering method, we tested it on different problems of image enhancement. Experimental results show the speed, quality and the accuracy of new filtered images.
INDEX TERMS
edge detection, filtering theory, fuzzy logic, Gaussian noise, image denoising, image enhancement, particle swarm optimisation
CITATION

E. Parcham, F. Hoseinkhani, M. Pournazari and S. Valizadeh, "Eliminate Noise with Fuzzy Logic Based on the (PSO) Algorithm," 2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT), Kuala Lumpur, 2013, pp. 388-392.
doi:10.1109/ACSAT.2012.32
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