Modified artificial bee colony algorithms for solving multiple circle detection problem

Author:

Aslan Selçuk

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference42 articles.

1. Adlin Sharo, T., Raimond, K.: Enhancing degraded color images using fuzzy logic and artificial bee colony. Int. J. Comput. Eng. Res. 3(3), 356–361 (2013)

2. Agrawal, S., Soni, S.: Noisy image segmentation based on genetic artificial bee colony algorithm. Int. J. Comput. Sci. Eng. Technol. 5(7), 754–763 (2014)

3. Akay, B.: A study on particle swarm optimization and artificial bee colony algorithms for multilevel thresholding. Appl. Soft Comput. 13(6), 3066–3091 (2013). https://doi.org/10.1016/j.asoc.2012.03.072

4. Akay, B., Karaboga, D.: A survey on the applications of artificial bee colony in signal, image, and video processing. Signal Image Video Process. 9(4), 967–990 (2015). https://doi.org/10.1007/s11760-015-0758-4

5. Alrosan, A., Norwawi, N., Ismail, W., Alomoush, W.: Artificial bee colony based fuzzy clustering algorithms for mri image segmentation. In: International Conference on Advances in Computer Science and Electronics Engineering—CSEE, pp. 225–228 (2014)

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