This work is licensed under the Creative Commons Attribution 4.0 International License.
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