Noise Suppressing Edge Enhancement Based on Genetic Algorithm Taking Into Account Complexity of Target Images Measured with Fractal Dimension

Kohei Arai

doi:10.14569/IJARAI.2013.021002

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Noise Suppressing Edge Enhancement Based on Genetic Algorithm Taking Into Account Complexity of Target Images Measured with Fractal Dimension

Author 1: Kohei Arai

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Digital Object Identifier (DOI) : 10.14569/IJARAI.2013.021002

Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 2 Issue 10, 2013.

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Abstract: Method for noise suppressing edge enhancement based on genetic algorithm taking into account complexity of target images measured with fractal dimension is proposed. Through experiments with satellite remote sensing imagery data with additive noise, it is found that the proposed method shows appropriate edge enhancing performance with suppressing the additive noise in accordance with complexity of target images. It is also found that the proposed method requires a small computer resources in comparison to the method based on Simulated Annealing: SA.

Keywords: edge enhancement; fractal dimension; genetic algorithm; simulated annealing; remote sensing satellite imagery

Kohei Arai , “Noise Suppressing Edge Enhancement Based on Genetic Algorithm Taking Into Account Complexity of Target Images Measured with Fractal Dimension” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(10), 2013. http://dx.doi.org/10.14569/IJARAI.2013.021002

@article{2013,
title = {Noise Suppressing Edge Enhancement Based on Genetic Algorithm Taking Into Account Complexity of Target Images Measured with Fractal Dimension},
journal = {International Journal of Advanced Research in Artificial Intelligence}
doi = {10.14569/IJARAI.2013.021002},
url = {http://dx.doi.org/10.14569/IJARAI.2013.021002},
year = {2013},
publisher = {The Science and Information Organization},
volume = {2},
number = {10},
author = {Kohei Arai },
}