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Teaching Chinese Painting Colour Based on Intelligent Image Processing Technology


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Li, D., & Zhang, Y. (2020). Multi-instance learning algorithm based on lstm for chinese painting image classification. IEEE Access, 8, 179336-179345. Search in Google Scholar

Xue, J., Guo, J., & Liu, Y. (2020). User-guided chinese painting completion–a generative adversarial network approach. IEEE Access, 8, 187431-187440. Search in Google Scholar

Zhu, C., & Sun, K. (2018). Cryptanalyzing and improving a novel color image encryption algorithm using rt-enhanced chaotic tent maps. IEEE Access,18759-18770. Search in Google Scholar

Yakun, C. (2017). Research on the application of chinese traditional art in the process of modern products design based on computer simulation. Boletin Tecnico/technical Bulletin, 55(6), 565-571. Search in Google Scholar

Liang, S., Feng, S., Ganping, Z., & Huhai, L. (2019). On the role of painting in the development of ink and wash animation. Paper Asia, 2(1), 42-47. Search in Google Scholar

Hu, X., & Zhang, F. (2017). A study on the model of elaborate-style painting rendering visual features based on computer aided rendering algorithm. Revista de la Facultad de Ingenieria, 32(13), 241-247. Search in Google Scholar

Wang, P., & Chen, R. (2018). Research on line rendering technology of ink and wash landscape painting based on rendering algorithm. Paper Asia(4), 156-159. Search in Google Scholar

Wang, H., & Rong, J. (2017). Exploration of oil painting teaching in colleges and universities under the background of multi art culture development. Revista de la Facultad de Ingenieria, 32(16), 446-452. Search in Google Scholar

Xu, L., & Chen, X. (2017). Research on the design and autonomous learning implementation of interactive learning system in art teaching. Revista de la Facultad de Ingenieria, 32(16), 101-107. Search in Google Scholar

Zhang, B., & Rui, Z. (2021). Application analysis of computer graphics and image aided design in art design teaching. Computer-Aided Design and Applications, 18(S4), 13-24. Search in Google Scholar

Ran, Y. (2017). Application of digital image processing technology in painting art design. Revista de la Facultad de Ingenieria, 32(14), 532-537. Search in Google Scholar

Tang, H. (2021). The application of computer-aided teaching in art teaching. Journal of Intelligent and Fuzzy Systems(1), 1-6. Search in Google Scholar

Dai, Y. (2017). Representational painting method of chinese academy oil painting teaching based on virtual environment technology. Boletin Tecnico/Technical Bulletin, 55(16), 531-537. Search in Google Scholar

Chen, L. (2017). Research on the application of semantic expression based on visual construction technology in oil painting teaching. Revista de la Facultad de Ingenieria, 32(16), 144-150. Search in Google Scholar

Marinkovic, B. (2021). Tacit knowledge in painting: from studio to classroom. International Journal of Art & Design Education.389-403 Search in Google Scholar

Castilla. (2020). Aesthetic interpretation and construction of an illusionist painting in the qing dynasty: a semiotic approach to learning. Journal of Aesthetic Education, 54(3), 89. Search in Google Scholar

Sulistyo, S., Woo, W. L., Dlay, S., & Gao, B. (2018). Building a globally optimized computational intelligent image processing algorithm for on-site nitrogen status analysis in plants. IEEE Intelligent Systems, 15-26. Search in Google Scholar

Wei, X., Jiang, S., Li, Y., Li, C., Jia, L., & Li, Y. (2019). Defect detection of pantograph slide based on deep learning and image processing technology. IEEE Transactions on Intelligent Transportation Systems, 1-12. Search in Google Scholar

Yun, Q., & Leng, C. L. (2020). Intelligent control of urban lighting system based on video image processing technology. IEEE Access, PP(99),155506-155518. Search in Google Scholar

He, C., & Sun, B. (2021). Application of artificial intelligence technology in computer aided art teaching. Computer-Aided Design and Applications, 18(S4), 118-129. Search in Google Scholar

Wang, L. (2017). Study on the optimization application of computer assisted instruction in college art teaching. Revista de la Facultad de Ingenieria, 32(12), 479-485. Search in Google Scholar

eISSN:
2444-8656
Język:
Angielski
Częstotliwość wydawania:
Volume Open
Dziedziny czasopisma:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics