[1] Bakhshali, Mohamad Amin, and Mousa Shamsi,
"Facial skin segmentation using bacterial foraging
optimization algorithm," Journal of medical signals
and sensors, vol. 2, no. 4 pp. 203, 2012.
[2] Hossain, Md Foisal, et al, "Automatic facial skin
detection using Gaussian mixture model under
varying illumination," Int J Innovative Comput Inf
Control, vol. 8, no. 2, pp. 1135-1144, 2012.
[3] Wu, Yue, and Qiang Ji, "Facial landmark detection:
A literature survey," International Journal of
Computer Vision, vol. 127, no.2, pp.115-142, 2019.
[4] Al-Mohair, Hani K., et al, "Hybrid human skin
detection using neural network and K-means
clustering technique," Applied Soft Computing,
vol. 33, pp. 337-347, 2015.
[5] Naji, Sinan A., et al, "Skin segmentation based on
multi pixel color clustering models," Digital Signal
Processing, vol. 22, no. 6, pp. 933-940, 2012.
[6] Zhu, Chunqiang, "An Algorithm for Human Face
Detection in Color Images Based on Skin Color
Segmentation," Proceedings of the 4th International
Conference on Computer Engineering and
Networks. Springer, Cham, 2015.
]7 ]فهمی جعفرقلخانلو، علی، شمسی، موسی، "بخشبندی تصاویر
رنگی چهره مبتنی بر خوشهبند فازی بهینه ساز ی شده با
الگوریتمهای گرگ خاکستری و نهنگ،" مجله علمی -پژوهشی
رایانش نرم و فناوری اطالعات، دوره ۱0 ،شماره ۲ ،صفحه ۱-
.۱۴00 ،۱۳
[8] Lin, Youcheng, et al, "K-means optimization
clustering algorithm based on particle swarm
optimization and multiclass merging," Advances in
Computer Science and Information Engineering.
Springer, Berlin, Heidelberg, pp. 569-578, 2012.
[9] Li, Haiyang, Hongzhou He, and Yongge Wen,
"Dynamic particle swarm optimization and Kmeans clustering algorithm for image
segmentation," Optik, vol. 126, no, 24, pp. 4817-
4822, 2015.
[10] Bonab, Mohammad Babrdel, et al, "Modified Kmeans combined with artificial bee colony
algorithm and differential evolution for color image
segmentation," Computational Intelligence in
Information Systems. Springer, Cham, pp. 221-231,
2015.
[11] Manna, Pramita, and Tapas Si, "Brain mri
segmentation for lesion detection using clustering
with fire-fly algorithm," Artificial Intelligence and
Evolutionary Computations in Engineering
Systems. Springer, pp. 1347-1355, 2016.
[12] Mostafa, Abdalla, et al, "Antlion optimization based
segmentation for MRI liver images," International
Conference on Genetic and Evolutionary
Computing. Springer, pp. 265-272, 2016.
[13] Dey, Alokananda, et al, "Novel quantum inspired
approaches for automatic clustering of gray level
images using Particle Swarm Optimization, Spider
M E M S
۱۲8
پژوهش های نظری و کاربردی هوش ماشینی. سال اول، شماره اول، بهار و تابستان ۱۴0۱
روش هیبریدی بهینهسازی ازدحام ذرات کوانتومی و گرگ خاکستری جهت آنالیز خوشه بهینه به منظور
بخش بندی پوست چهره
Monkey Optimization and Ageist Spider Monkey
Optimization algorithms," Applied Soft Computing,
vol. 88, pp.106040, 2020.
[14] Garg, Shelly, and Balkrishan Jindal, "Skin lesion
segmentation using k-mean and optimized fire fly
algorithm," Multimedia Tools and Applications,
vol. 80, no. 5, pp. 7397-7410, 2021.
[15] Khrissi, Lahbib, et al, "Clustering method and sine
cosine algorithm for image
segmentation." Evolutionary Intelligence, pp. 1-14,
2021.
[16] Razmjooy, Navid, and Saeid Razmjooy, "Skin
Melanoma Segmentation Using Neural Networks
Optimized by Quantum Invasive Weed
Optimization Algorithm," Metaheuristics and
Optimization in Computer and Electrical
Engineering. Springer, pp. 233-250, 2021.
[17] Hanuman, Verma, Deepa, Verma, and Pawam,
Tiwari, “A population based hybrid FCM-PSO
algorithm for clustering analysis and segmentation
of brain image,” Expert Systems With Applications,
vol. 167, 2021.
[18] S. Tongbram, B. A. Shimray, L. S. Singh, and N.
Dhanachandra, "A novel image
segmentation approach using fcm and whale
optimization algorithm," Journal of Ambient
Intelligence and Humanized Computing, pp. 1-15,
2021.
[19] A. Lenin Fred, S. Kumar, P. Padmanaban, B.
Gulyas, and H. Ajay Kumar, "Fuzzy-crow
search optimization for medical image
segmentation," in Applications of hybrid
metaheuristic algorithms for image processing:
Springer, pp. 413-439, 2020.
[20] Majhi, Santosh Kumar, and Shubhra Biswal,
"Optimal cluster analysis using hybrid K-Means and
Ant Lion Optimizer," Karbala International Journal
of Modern Science, vol. 4, no.4, pp. 347-360, 2018.
[21] Kennedy, James, and Russell Eberhart, "Particle
swarm optimization," Proceedings of ICNN'95-
international conference on neural networks, vol. 4.
IEEE, 1995.
[22] Yang, Shuyuan, and Min Wang, "A quantum
particle swarm optimization," Proceedings of the
2004 Congress on Evolutionary Computation (IEEE
Cat. No. 04TH8753), vol. 1. IEEE, 2004.
[23] Fang, Wei, et al, "A review of quantum-behaved
particle swarm optimization," IETE Technical
Review, vol. 27, no. 4, pp. 336-348, 2010.
[24] Soliman, Mona M, et al, "An adaptive watermarking
approach based on weighted quantum particle
swarm optimization," Neural Computing and
Applications, vol. 27, no. 2, pp. 469-481, 2016.
[25] Tharwat, Alaa, and Aboul Ella Hassanien,
"Quantum-behaved particle swarm optimization for
parameter optimization of support vector
machine," Journal of Classification, vol. 36, no. 3,
pp. 576-598, 2019.
[26] Mirjalili, Seyedali, et al, "Grey wolf
optimizer," Advances in engineering software,
vol. 69, pp. 46-61, 2014.
[27] Khan, Rehanullah, et al, "Color based skin
classification," Pattern Recognition Letters, vol. 33,
no. 2, pp. 157-163, 2012.
[28] Cheng, Heng-Da, et al, "Color image segmentation:
advances and prospects," Pattern recognition,
vol. 34, no.12, pp. 2259-2281, 2001.
[29] Whitley, Darrell, "A genetic algorithm
tutorial," Statistics and computing, vol. 4, no. 2, pp.
65-85, 1994.
[30] Yang, Xin-She, "A new metaheuristic bat-inspired
algorithm," Nature inspired cooperative strategies
for optimization, Springer, pp. 65-74, 2010.
[31] Askarzadeh, Alireza, "A novel metaheuristic
method for solving constrained engineering
optimization problems: crow search
algorithm," Computers & Structures, vol. 169, pp.
1-12, 2016.
[32] Singh, Narinder, and S. B. Singh, "Hybrid algorithm
of particle swarm optimization and grey wolf
optimizer for improving convergence
performance," Journal of Applied
Mathematics, 2017
)