Author:
Wang Xiang-Yang,Wu Zhi-Fang,Chen Liang,Zheng Hong-Liang,Yang Hong-Ying
Funder
National Natural Science Foundation of China
Liaoning Research Project for Institutions of Higher Education of China
Open Project Program of Jiangsu Key Laboratory of Image and Video Understanding for Social Safety
Open Foundation of Provincial Key Laboratory for Computer Information Processing Technology
Open Project Program of the State Key Lab of CAD&CG
Subject
Artificial Intelligence,Cognitive Neuroscience
Reference39 articles.
1. Saliency-SVM: An automatic approach for image segmentation;Bai;Neurocomputing,2014
2. A fast and robust level set method for image segmentation using fuzzy clustering and lattice Boltzmann method;Balla-Arabé;IEEE Transaction on Cybernetics,2013
3. Bertelli, L., Yu, T., Vu, D., & Gokturk, B. (2011). Kernelized structural SVM learning for supervised object segmentation. In 2011 IEEE conference on computer vision and pattern recognition, CVPR, Providence, RI, 20–25 June (pp. 2153–2160).
4. A generalized multiclass histogram thresholding approach based on mixture modeling;Boulmerka;Pattern Recognition,2014
5. Fast approximate energy minimization via graph cuts;Boykov;IEEE Transactions on Pattern Analysis and Machine Intelligence,2001
Cited by
21 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