Affinity Fusion Graph-Based Framework for Natural Image Segmentation

IEEE Transactions on Multimedia(2022)

引用 14|浏览75
暂无评分
摘要
This paper proposes an affinity fusion graph framework to effectively connect different graphs with highly discriminating power and nonlinearity for natural image segmentation. The proposed framework combines adjacency-graphs and kernel spectral clustering based graphs (KSC-graphs) according to a new definition named affinity nodes of multi-scale superpixels. These affinity nodes are selected base...
更多
查看译文
关键词
Image segmentation,Kernel,Image color analysis,Tensors,Task analysis,Sparse matrices,Linearity
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要