FINE-STRUCTURED OBJECT SEGMENTATION VIA EDGE-GUIDED GRAPH CUT WITH INTERACTION SIMPLIFICATION
文献类型：会议论文
| 作者 | Gong, Yongchao ; Xiang, Shiming; Wang, Lingfeng; Pan, Chunhong
|
| 出版日期 | 2016-03 |
| 会议日期 | 2016-3-20 ~ 2016-3-25 |
| 会议地点 | Shanghai, China |
| 关键词 | Fine-structured Object Segmentation Interaction Simplification Edge-guided Graph Cut |
| 页码 | 1801-1805 |
| 英文摘要 | Fine-structured object segmentation is a challenging problem in object segmentation community. There are mainly two difficulties that can seriously degrade the segmentation quality: 1) insufficient interactions on fine structures due to the high demand of time and manual efforts, and 2) shrinking bias that discourages long object boundaries. To address these two issues, we develop a novel method within the graph cut framework. First, the commonly used operation of scribbling or dragging bounding boxes is replaced by loosely drawing a few rectangles, thus the interaction burden is largely reduced. Second, an edge-guided graph cut model is proposed to mitigate shrinking bias. This model enforces connectivity of fine structures by adjusting the weighting between neighboring pixels. Finally, the segmentation task is formulated as an optimization problem, which can be optimized effectively and efficiently. Comparative experimental results demonstrate the effectiveness of our method. |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/14491]  |
| 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 EDGE-GUIDED GRAPH CUT WITH INTERACTION SIMPLIFICATION[C]. 见:. Shanghai, China. 2016-3-20 ~ 2016-3-25. |
入库方式： OAI收割
来源：自动化研究所
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