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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 7, 2015.
Abstract: This survey focuses on the problem of parameters selection in image edge detection by ant colony optimization (ACO) algorithm. By introducing particle swarm optimization (PSO) algorithm to optimize parameters in ACO algorithm, the fitness function based on connectivity of image edge is proposed to evaluate the quality of parameters in ACO algorithm. And the ACO-PSO algorithm is applied to image edge detection. The simulation results show that the parameters have been optimized and the proposed ACO-PSO algorithm presents better edges than traditional methods.
Chen Tao, Sun Xiankun, Han Hua and You Xiaoming, “Image Edge Detection based on ACO-PSO Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 6(7), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060708
@article{Tao2015,
title = {Image Edge Detection based on ACO-PSO Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060708},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060708},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {7},
author = {Chen Tao and Sun Xiankun and Han Hua and You Xiaoming}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.