FINE-STRUCTURED OBJECT SEGMENTATION VIA LOCAL AND NONLOCAL NEIGHBORHOOD PROPAGATION
文献类型：会议论文
| 作者 | Gong, Yongchao ; Xiang, Shiming; Wang, Lingfeng; Pan, Chunhong
|
| 出版日期 | 2015-09 |
| 会议日期 | 2015-9-27 ~ 2015-9-30 |
| 会议地点 | Québec City, Canada |
| 关键词 | Fine-structured (Fs) Object Segmentation Affinity Graph Local And nonLocal Neighborhood System Region Cost Closed-form Solution |
| 页码 | 4619-4623 |
| 英文摘要 | In this paper, we present a novel method for the challenging task of fine-structured (FS) object segmentation. This task is formulated as a label propagation problem on an affinity graph. To enhance the completeness and connectivity of the FS objects, we introduce a novel neighborhood system combining both local and nonlocal connections, together with a robust scheme for edge weight calculation. Additionally, region cost is incorporated into the energy function to further maintain the connectivity of fine parts where the propagation is hard to reach. An appealing advantage of the proposed method is that the energy minimization has a closed-form solution and global optimum is guaranteed. Comparative experimental results on three datasets demonstrate the effectiveness of the proposed method. |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/14489]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_遥感图像处理团队 |
| 作者单位 | National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Gong, Yongchao,Xiang, Shiming,Wang, Lingfeng,et al. FINE-STRUCTURED OBJECT SEGMENTATION VIA LOCAL AND NONLOCAL NEIGHBORHOOD PROPAGATION[C]. 见:. Québec City, Canada. 2015-9-27 ~ 2015-9-30. |
入库方式： OAI收割
来源：自动化研究所
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