1 |
P. Taler and K. Sabo, "Color image segmentation based on intensity and hue clustering," Croatian Operational Research Review, vol. 3, no. 5, pp. 375-385, 2014.
|
2 |
B . U. Shankar, "Novel classification and segmentation techniques with application to remotely sensed images," in Transactions on Rough Sets VII. Heidelberg: Springer, 2007, pp. 295-380.
|
3 |
S. Ameur and Z. Ameur, "Revue des approches de segmentation d'images texturees: exemple des images meteorologique," in Proceedings of the 3rd International Conference: Sciences of Electronic, Technologies of Information and Telecommunication (SETIT), Tunisia, Algeria, 2005, pp. 1-14.
|
4 |
D. Guo, V. Atluri, and N. Adam, "Texture-based remote sensing image segmentation," in Proceedings of IEEE International Conference on Multimedia and Expo (ICME), Amsterdam, The Nederlands, 2005, pp. 1472-1475.
|
5 |
A. Halder, S. Pramanik, and A. Kar, "Dynamic image segmentation using fuzzy c-means based genetic algorithm," International Journal of Computer Applications, vol. 28, no. 6, pp. 15-20, 2011.
DOI
|
6 |
S. Bansal and D. Aggarwal, "Color image segmentation using CIELab color space using ant colony optimization," International Journal of Computer Applications, vol. 29, no. 9, pp. 28-34, 2011.
DOI
|
7 |
S. Bandyopadhyay, S. Saha, U. Maulik, and K. Deb, "A simulated annealing-based multiobjective optimization algorithm: AMOSA," IEEE Transactions on Evolutionary Computation, vol. 12, no. 3, pp. 269-283, 2008.
DOI
|
8 |
F. Mohsen, M. Hadhoud, K. Mostafa, and K. Amin, "A new image segmentation method based on particle swarm optimization," International Arab Journal of Information Technology, vol. 9, no. 5, pp. 487-493, 2012.
|
9 |
S. Zucker, "Region growing: childhood and adolescence," Computer Graphics and Image Processing, vol. 5, no. 3, pp. 382-399, 1976.
DOI
|
10 |
M. Eusuff, K. Lansey, and F. Pasha, "Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization," Engineering Optimization, vol. 32, no. 2, pp. 129-154, 2006.
|
11 |
M. R. Narimani, "A new modified shuffle frog leaping algorithm for non-smooth economic dispatch," World Applied Sciences Journal, vol. 12, no. 6, pp. 803-814, 2011.
|
12 |
D. Tang, Y. Cai, and J. Zhao, "An improved shuffled frog leaping algorithm with single step search strategy and interactive learning rule for continuous optimization," Journal of Computers, vol. 9, no. 6, pp. 1300-1308, 2014.
|
13 |
E. Dominguez and J. Munoz, "Applying bio-inspired techniques to the p-median problem," in Computational Intelligence Bioinspired Systems. Heidelberg: Springer, 2005, pp. 67-74.
|
14 |
A. Agrawal and H. Gupta, "Global K-means (GKM) clustering algorithm: a survey," International Journal of Computer Applications, vol. 79, no. 2, pp. 20-24, 2013.
DOI
|
15 |
J. Xie, S. Jiang, W. Xie, and X. Gao, "An efficient global K-means clustering algorithm," Journal of Computers, vol. 6, no. 2, pp. 271-279, 2011.
|
16 |
M. Farahani, S. B. Movahhed, and S. F. Ghaderi, "A hybrid meta-heuristic optimization algorithm based on SFLA," in Proceedings of the 2nd International Conference on Engineering Optimization, Lisbon, Portugal, 2010, pp. 1-8.
|
17 |
Y. Li and C. Zhang, "A hybrid intelligent optimization algorithm of fast convergence," International Journal of Hybrid Information Technology, vol. 8, no. 1, pp. 295-304, 2015.
DOI
|
18 |
J. Zhao and L. Lv, "Two-phases learning shuffled frog leaping algorithm," International Journal of Hybrid Information Technology, vol. 8, no. 5, pp. 195-206, 2015.
DOI
|