SUPERCUT: An accurate and effective interactive image segmentation algorithm | |
Zhu, Qingsong; Shao, Ling; Song, Zhan; Xie, Yaoqin | |
2013 | |
会议名称 | 2013 20th IEEE International Conference on Image Processing, ICIP 2013 |
会议地点 | Melbourne, VIC, Australia |
英文摘要 | The task of interactive image segmentation has attracted a significant attention in recent years. The ultimate goal is to extract an object with as few user interactions as possible. In this paper, we present SUPERCUT, a novel interactive algorithm for foreground object extraction and segmentation in images. In the algorithm, the mean shift algorithm with a boundary confidence prior is introduced to efficiently pre-segment the original image into super-pixels with precise boundary. Secondly, a Bayes decision theory is introduced to model and cluster the super-pixels so as to obtain an initial effective classification of super-pixels. To achieve a more accurate object segmentation result, a boundary refinement using Interactive rectangle box with GMM learning is adopted. Experimental results on a benchmark data set show that the proposed framework is highly effective and can accurately segment a wide variety of natural images with ease. |
收录类别 | EI |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/5005] ![]() |
专题 | 深圳先进技术研究院_医工所 |
作者单位 | 2013 |
推荐引用方式 GB/T 7714 | Zhu, Qingsong,Shao, Ling,Song, Zhan,et al. SUPERCUT: An accurate and effective interactive image segmentation algorithm[C]. 见:2013 20th IEEE International Conference on Image Processing, ICIP 2013. Melbourne, VIC, Australia. |
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