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High-resolution art recognition of modern packaging design and images based on texture image classification

   | 01 nov 2023

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Feng, J., Liu, X., Dong, Y., Liang, L., & Pu, J. (2017). Structural difference histogram representation for texture image classification. IET Image Processing, 11(2), 118-125. Search in Google Scholar

Yang, S. (2019). Research on Teaching Method of Packaging Design Course Based on Chinese Style. Review of Educational Theory, 2(4), 8-12. Search in Google Scholar

Moh’d, Shamaileh, A., Rassem, T. H., Chuin, L. S., & Al, Sayaydeh, O. N. (2020). A new feature-based wavelet completed local ternary pattern (Feat-WCLTP) for texture image classification. IEEE Access, 8, 28276-28288. Search in Google Scholar

Steenis, N. D., Van, Herpen, E., Van. Der. Lans, I. A., Ligthart, T. N., & Van. Trijp, H. C. (2017). Consumer response to packaging design: The role of packaging materials and graphics in sustainability perceptions and product evaluations. Journal of Cleaner Production, 162, 286-298. Search in Google Scholar

Cao, Q. (2021). The art of packaging: An investigation on Modern Packaging Design and Artistic Thinking under the Background of Big Data. Journal of Applied Science and Engineering, 24(4), 807-812. Search in Google Scholar

Simmonds, G., Woods, A. T., & Spence, C. (2019). ‘Shaping perceptions’: Exploring how the shape of transparent windows in packaging designs affects product evaluation. Food Quality and Preference, 75, 15-22. Search in Google Scholar

Albkosh, F. M., Hitam, M. S., Wan, Yussof, W. N. J., Abdul, Hamid, A. A. K., & Ali, R. (2019). Optimization of discrete wavelet transform features using artificial bee colony algorithm for texture image classification. International Journal of Electrical & Computer Engineering (2088-8708), 9(6). Search in Google Scholar

Jrgensen, A. B., Munk-Nielsen, S., & Uhrenfeldt, C. (2020). Overview of digital design and finite-element analysis in modern power electronic packaging. IEEE Transactions on Power Electronics, PP(99), 1-1. Search in Google Scholar

Nair, A. S., & Jacob, R. (2017). A survey on feature descriptors for texture image classification. International Research Journal of Engineering and Technology (IRJET), 4, 2-4. Search in Google Scholar

Shan, Y. (2018). Modern design and cognitive neuroscience: impact of cognitive theory on green package design. NeuroQuantology(6). Search in Google Scholar

Zhang, S. (2022). Research on energy-saving packaging design based on artificial intelligence. Energy Reports, 8, 480-489. Search in Google Scholar

Zhang, K. (2022). ON THE INFLUENCE OF CONSUMER PSYCHOLOGICAL FACTORS ON MODERN PACKAGING DESIGN. Psy chiatria Danubina, 34(suppl 4), 364-364. Search in Google Scholar

Yu, W., & Sinigh, P. (2021). Application of CAD in product packaging design based on green concept. Computer-Aided Design and Applications, 19(S2), 124-133. Search in Google Scholar

Yuan, Z. (2022). Application of Green Ecological Design in Food Packaging Design. Journal of Food Quality, 2022. Search in Google Scholar

Song, Y., Li, Q., Feng, D., Zou, J. J., & Cai, W. (2016). Texture image classification with discriminative neural networks. Computational Visual Media, 2, 367-377. Search in Google Scholar

Gómez-Ríos, A., Tabik, S., Luengo, J., Shihavuddin, A. S. M., Krawczyk, B., & Herrera, F. (2019). Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation. Expert Systems with Applications, 118, 315-328. Search in Google Scholar

Abdul, Hamid, L. B., Mohd, Khairuddin, A. S., Khairuddin, U., Rosli, N. R., & Mokhtar, N. (2022). Texture image classification using improved image enhancement and adaptive SVM. Signal, Image and Video Processing, 16(6), 1587-1594. Search in Google Scholar

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Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics