Fine-structured object segmentation via neighborhood propagation
文献类型：期刊论文
| 作者 | Gong, Yongchao ; Xiang, Shiming; Pan, Chunhong
|
| 刊名 | PATTERN RECOGNITION
 |
| 出版日期 | 2016-12-01 |
| 卷号 | 60期号:null页码:130-144 |
| 关键词 | Fine-structured Object Segmentation Label Propagation Affinity Graph Local And nonLocal Neighborhood Region Cost |
| DOI | 10.1016/j.patcog.2016.05.025 |
| 文献子类 | Article |
| 英文摘要 | This paper presents a novel method for the challenging task of fine-structured (FS) object segmentation. The task is formulated as a label propagation problem on an affinity graph. The proposed method has mainly three advantages. First, to enhance the completeness and connectivity of FS objects, we introduce a novel neighborhood system combining both local and nonlocal connections, with a robust scheme for edge weight calculation. Second, appearance models are explicitly incorporated into the energy function as a term of region cost. This helps to further preserve the connectivity of the fine parts for which the label information is hard to propagate correctly via neighboring pixels alone. Third, the resulting energy minimization problem has a closed-form solution with global optimum guaranteed, showing an advantage over the FS object segmentation methods that suffer from NP-hardness. To enrich the evaluation of FS object segmentation methods, we created a new challenging data set. It consists of 100 natural images involving diverse FS objects, with accurately hand-labeled ground truth. Extensive experimental results demonstrate that our method is effective in handling FS objects and achieves the state-of-the-art performance. (C) 2016 Elsevier Ltd. All rights reserved. |
| 语种 | 英语 |
| WOS记录号 | WOS:000383525600012 |
| 资助机构 | National Natural Science Foundation of China (61331018) ; National Natural Science Foundation of China (61370039) ; National Natural Science Foundation of China (61272331) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12635]  |
| 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 |
| 通讯作者 | Xiang, Shiming |
| 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,Pan, Chunhong. Fine-structured object segmentation via neighborhood propagation[J]. PATTERN RECOGNITION,2016,60(null):130-144. |
| APA | Gong, Yongchao,Xiang, Shiming,&Pan, Chunhong.(2016).Fine-structured object segmentation via neighborhood propagation.PATTERN RECOGNITION,60(null),130-144. |
| MLA | Gong, Yongchao,et al."Fine-structured object segmentation via neighborhood propagation".PATTERN RECOGNITION 60.null(2016):130-144. |
入库方式： OAI收割
来源：自动化研究所
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