FINE-STRUCTURED OBJECT SEGMENTATION VIA EDGE-GUIDED GRAPH CUT WITH INTERACTION SIMPLIFICATION
Gong, Yongchao; Xiang, Shiming; Wang, Lingfeng; Pan, Chunhong
2016-03
会议名称IEEE International Conference on Acoustics, Speech and Signal Processing
页码1801-1805
会议日期2016-3-20 ~ 2016-3-25
会议地点Shanghai, China
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.
关键词Fine-structured Object Segmentation Interaction Simplification Edge-guided Graph Cut
收录类别EI
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/14491
专题模式识别国家重点实验室_先进数据分析与学习
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],2016:1801-1805.
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