بررسی تشخیص لبه‌های تصویر نویزدار بر اساس الگوریتم بهینه‌سازی گرگ خاکستری

[1] R. Muthukrishnan, M. Radha, “Edge detection techniques for image segmentation”, International Journal of Computer Science & Information Technology, vol.3, no. 6, pp. 256-267, 2011.

[2] N. A. Golilarz, H. Gao, H. Demirel, “Satellite image de-noising with harris hawks meta heuristic optimization algorithm and improved adaptive generalized Gaussian distribution threshold function”, IEEE Access, vol. 7, pp. 57459-57468, 2019.

[3] S. Mirjalili, A. Lewis, “The whale optimization algorithm”, Advances in Engineering Software, vol. 95, pp. 51-67, 2016.

[4] N. S. Dagar, P. K. Dahiya, “Edge detection technique using binary particle swarm optimization”, Procedia Computer Science, vol. 167, pp.1421-143, 2020.

[5] D. Dumitru, A, Andreica, L. Diosan, Z. Baliot, “Particle swarm optimization of cellular automata rules for edge detection”, In 21^st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), September 2019, Timisoara, Romania. DOI: 10.1109/SYNASC49474.2019.00052

[6] A. Eleyan, M. Anwar, “Multiresolution edge detection using particle swarm optimization”, IEEE International Journal of Engineering Science and Application, vol. 1, no. 1, pp. 11-17, 2017.

[7] Q. Shi, J. An, K. K. Gagnon, R. Cao, H. Xie, “Image edge detection based on the canny edge and the ant colony optimization algorithm”, In 12^th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), October 2019. DOI: 10.1109/CISP-BMEI48845.2019.8965950

[8] S. Kheirinejad, S. M. H. Hasheminejad, N. Riahi, “Max-min ant colony optimization method for edge detection exploiting a new heuristic information function”, In 8th International Conference on Computer and Knowledge Engineering (ICCKE), October 2018. DOI: 10.1109/ICCKE.2018.8566516

[9] S. Wang, “A Novel Image Edge Detection Method Based on Multi-Population Ant Colony Optimization”, In 6^th International Conference on Information Science and Control Engineering (ICISCE), June 2019, Shanghai, China. DOI: 10.1109/ICISCE48695.2019.00028

[10] M. Rafsanjani, Z. Varzaneh, “Edge detection in digital images using Ant Colony Optimization”, Computer Science Journal of Moldova, vol. 69, no. 3, pp. 343-359, 2015.

[11] A. Srivastava, R. Singh, S. Juneja, G. Verma, “Ant colony optimization based edge detection in digital images”, In 5^th International Conference on Computational Intelligence and Communication Technologies (CCICT), July 2022, pp.107-113, Sonepat, India. DOI: 10.1109/CCiCT56684.2022.00031

[12] A. Gautam, M. Biswas, “Whale optimization algorithm based edge detection for noisy image”, In Second International Conference on Intelligent Computing and Control Systems (ICICCS), June  2018, Madurai, India. DOI: 10.1109/ICCONS.2018.8663022

[13] D. Liu, S. Zhou, R. Shen, X. Lu, “Color image edge detection method based on the improved whale optimization algorithm”, IEEE Access, vol. 11, pp. 5981-5989, 2023.

[14] M. S. N. Devi, S. Santhi, “Improved edge detection methods in OCT images using a hybrid framework based on CGWO algorithm”, In International Conference on Communication and Signal Processing (ICCSP), April  2019, Chennai, India.

DOI: 10.1109/ICCSP.2019.8698096

[15] S. Mirjalili, S. M. Mirjalili, A. Lewis, “Grey wolf optimizer”, Advances in Engineeing Software, vol. 69, pp. 46-6, 2014.

[16] Kaggle.com/datasets/balraj98/berkeley-segmentation-dataset-500-bsds500/

[17] M. Hossin, M. N. Sulaiman, “A review on evaluation metrics for data classification evaluations”, International journal of data mining & knowledge management process, vol. 5, no. 2, pp. 1-11, 2015.