Clothing Image Classification with DenseNet201 Network and Optimized Regularized Random Vector Functional Link

References

• Abualigah, L., M. Shehab, M. Alshinwan, and H. Alabool. 2019. Salp swarm algorithm: A comprehensive survey. Neural Computing & Applications 32 (15):11195–20. doi:10.1007/s00521-019-04629-4.
   Web of Science ®Google Scholar
• Chandy, D. A., J. S. Johnson, and S. E. Selvan. 2014. Texture feature extraction using gray level statistical matrix for content-based mammogram retrieval. Multimedia Tools and Applications 72 (2):2011–24. doi:10.1007/s11042-013-1511-z.
   Web of Science ®Google Scholar
• Di, W. 2020. A comparative research on clothing images classification based on neural network models. Proceedings of 2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT), Weihai, China, 495–99.
   Google Scholar
• Hazarika, B. B., and G. Deepak. 2022a. 1-Norm random vector functional link networks for classification problems. Complex & Intelligent Systems 8 (4):3505–21. doi:10.1007/s40747-022-00668-y.
   Web of Science ®Google Scholar
• Hazarika, B. B., and G. Deepak. 2022b. Modwt—random vector functional link for river-suspended sediment load prediction. Arabian Journal of Geosciences 15 (10):1–14. doi:10.1007/s12517-022-10150-1.
   Google Scholar
• Hazarika, B. B., and G. Deepak. 2022c. Random vector functional link with ε-insensitive Huber loss function for biomedical data classification. Computer Methods and Programs in Biomedicine 215:106622. doi:10.1016/j.cmpb.2022.106622.
   PubMed Web of Science ®Google Scholar
• Huang, G. B., H. M. Zhou, X. J. Ding, and R. Zhang. 2012. Extreme learning machine for regression and multiclass classification. Neurocomputing 70 (2):513–29. doi:10.1109/tsmcb.2011.2168604.
   Google Scholar
• Kayed, M., A. Anter, and H. Mohamed. 2020. Classification of garments from fashion MNIST dataset using CNN LeNet-5 architecture. Proceedings of 2020 International Conference on Innovative Trends in Communication and Computer Engineering (ITCE), Aswan, Egypt, 238–43.
   Google Scholar
• Li, J. Q., W. M. Shi, and H. D. Yang. 2021. Clothing image classification with a dragonfly algorithm optimized online sequential extreme learning machine. Fibres & Textiles in Eastern Europe 29 (3):90–95. doi:10.5604/01.3001.0014.7793.
   Web of Science ®Google Scholar
• Li, J., W. Shi, and D. Yang. 2021. Color difference classification of dyed fabrics via a kernel extreme learning machine based on an im-proved grasshopper optimization algorithm. Color Research & Application 46 (2):388–401. doi:10.1002/col.22581.
   Web of Science ®Google Scholar
• Li, J., W. Shi, and D. Yang. 2021. Fabric wrinkle evaluation model with regularized extreme learning machine based on improved Harris Hawks optimization. The Journal of the Textile Institute 113 (2):199–211. doi:10.1080/00405000.2020.1868672.
   Web of Science ®Google Scholar
• Liu, Y. J., G. F. Luo, and F. Dong. 2019. Convolutional network model using hierarchical prediction and its application in clothing image classification. Proceedings of 2019 3rd International Conference on Data Science and Business Analytics (ICDSBA 2019), Istanbul, Turkey.
   Google Scholar
• Liu, G. H., Z. Wei, and E. López-Rubio. 2020. Image retrieval using the fused perceptual color histogram. Computational Intelligence and Neuroscience 2020 (9):1–10. doi:10.1155/2020/8876480.
   Google Scholar
• Liu, X. Q., and D. H. Yang. 2021. Color constancy computation for dyed fabrics via improved marine predators algorithm optimized random vector functional-link network. Color Research and Application 46 (5):1066–78. doi:10.1002/col.22653.
   Web of Science ®Google Scholar
• Liu, Q. Q., Y. Q. Zhong, and X. Wang. 2018. Female apparel classification based on convolutional neural network. 11th International Symposium of Textile Bioengineering and Informatics (TBIS) 11 (4):575–81. doi:10.3993/jfbim00319.
   Google Scholar
• Malik, A. K., M. A. Ganaie, M. Tanveer, and P. N. Suganthan. 2022. Extended features based random vector functional link network for classification problem. IEEE Transactions on Computational Social Systems. doi:10.1109/TCSS.2022.3187461.
   Web of Science ®Google Scholar
• Mirjalili, S. 2015. The ant lion optimizer. Advances in Engineering Software 83:80–98. doi:10.1016/j.advengsoft.2015.01.010.
   Web of Science ®Google Scholar
• Moon, Y. S. 2007. Image retrieval using spatial color correlation and texture characteristics based on local fourier transform. Signal Processing 44 (1):10–16.
   Google Scholar
• Panda, M., and B. Das. 2019. Grey wolf optimizer and its applications: A survey. Proceedings of The Third International Conference on Microelectronics, Computing and Communication Systems, Jharkhand, India, 556:179–94.
   Google Scholar
• Scardapane, S., D. H. Wang, M. Panella, and A. Uncini. 2015. Distributed learning for random vector functional-link networks. Information Sciences 301:271–84. doi:10.1016/j.ins.2015.01.007.
   Web of Science ®Google Scholar
• Tan, Z. Y., Y. P. Hu, D. J. Luo, M. Hu, and K. H. Liu. 2020. The clothing image classification algorithm based on the improved Xception model. International Journal of Computational Science and Engineering 23 (3):214–23. doi:10.1504/IJCSE.2020.111426.
   Web of Science ®Google Scholar
• Weng, T. F., Y. L. Yuan, L. Shen, and Y. Zhao. 2013. Clothing image retrieval using color moment. 3rd International Conference on Computer Science and Network Technology (ICCSNT) 1016–20. doi:10.1109/ICCSNT.2013.6967276.
   Google Scholar
• Wojcikowski, M. 2016. Histogram of oriented gradients with cell average brightness for human detection. Metrology and Measurement Systems 23 (1):27–36. doi:10.1515/mms-2016-0012.
   Web of Science ®Google Scholar
• Yu, F., C. H. Du, A. L. Hua, M. H. Jiang, X. Wei, T. Peng, and X. R. Hu. 2021. EnCaps: Clothing image classification based on enhanced capsule network. Applied Sciences-Basel 11 (22):11024. doi:10.3390/app112211024.
   Web of Science ®Google Scholar
• Zhao, Q. 2021. Research on the application of local binary patterns based on color distance in image classification. Multimedia Tools and Applications 80 (18):27279–98. doi:10.1007/s11042-021-10996-9.
   Web of Science ®Google Scholar
• Zhou, Z. Y., W. X. Deng, Y. M. Wang, and Z. F. Zhu. 2021. Classification of clothing images based on a parallel convolutional neural network and random vector functional link optimized by the grasshopper optimization algorithm. Textile Research Journal 92 (9–10):1415–28. doi:10.1177/00405175211059207.
   Web of Science ®Google Scholar