Research on segmentation of sports images based on GMMLS method
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software
Reference20 articles.
1. Lu, M., Tan, H., & Wang, L. (2012). Segmentation of sports images based on the level set method. 2012 2nd International Conference On Consumer Electronics, Communications and Networks (CECNet). doi:10.1109/cecnet.2012.6202008.
2. Wei-ke, Z., Zhan-ping, L., & Jin, S. (2011). Image segmentation algorithm research for sports graphics based on artificial life. 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet). doi:10.1109/cecnet.2011.5768268.
3. Wang, W., Wang, D., & Wang, L. (2012). Fuzzy clustering segmentation algorithm research for sports graphics based on artificial life. 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet). doi:10.1109/cecnet.2012.6202052.
4. Zhang, W. (2019). Segmentation and Simulation Analysis of Sports Video Images Based on Cellular Neural Network. 2019 International Conference on Smart Grid and Electrical Automation (ICSGEA). doi:10.1109/icsgea.2019.00050.
5. Jeon, J., & Kim, M. (2015). A spatial class LDA model for classification of sports scene images. 2015 IEEE International Conference on Image Processing (ICIP). doi:10.1109/icip.2015.7351688.
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