Classification of Chinese and Western Painting Images Based on Brushstrokes Feature-Reference-Cited by-同舟云学术

Classification of Chinese and Western Painting Images Based on Brushstrokes Feature

Published:2020 Issue: Volume: Page:325-337
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Qiao Liqin,Guo Xiaoying,Li Wenshu

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-65736-9_30

Reference18 articles.

1. Li, J., Yao, L., Hendriks, E., Wang, J.Z.: Rhythmic brushstrokes distinguish van gogh from his contemporaries: findings via automated brushstroke extraction. IEEE Trans. Pattern Anal. Mach. Intell. 34(6), 1159–1176 (2012)

2. Meer, P., Georgescu, B.: Edge detection with embedded confidence. IEEE Trans. Pattern Anal. Mach. Intell. 23(12), 1351–1365 (2001)

3. Guo, X.Y., Li, W.S., Qian, Y.H., Bai, R.Y., Jia, C.H.: Computational evaluation methods of visual complexity perception for images. Acta Electron. Sinica 48(4), 819–826 (2020)

4. Fan, Z.B., Li, Y., Yu, J., Zhang, K.: Visual complexity of chinese ink paintings. In: ACM Symposium on Applied Perception (2017)

5. Sun, M., Zhang, D., Wang, Z., Ren, J., Jin, J.S.: Monte Carlo convex hull Model for classification of traditional Chinese paintings. Neurocomputing 171, 788–797 (2016)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A fuzzy control algorithm based on artificial intelligence for the fusion of traditional Chinese painting and AI painting;Scientific Reports;2024-08-01

2. Analysis of Painting Complexity Based on Feature Extraction;2022 4th International Conference on Advances in Computer Technology, Information Science and Communications (CTISC);2022-04-22