Efficient label propagation for interactive image segmentation
Efficient label propagation for interactive image segmentation
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DOI：
10.1109/icmla.2007.54
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发表时间：
2007-12
期刊：
影响因子：
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通讯作者：
Fei Wang;Xin Wang;Ta-Hsin Li
中科院分区：
文献类型：
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作者：
Fei Wang;Xin Wang;Ta-Hsin Li
提出了一种新的交互式多标签图像/视频分割算法。给定少量具有用户定义（或预定义）标签的像素，我们的方法可以通过迭代过程自动将这些标签传播到剩余的未标记像素。对算法的收敛性进行了沿着的理论分析，给出了算法与隐马尔可夫随机场模型能量最小化的对应关系。为了使算法更有效，我们还推导出一种多层次的方式来传播标签。最后给出了对自然图像的分割结果，验证了该方法的有效性.
A novel algorithm for interactive multilabel image/video segmentation is proposed in this paper. Given a small number of pixels with user-defined (or pre-defined) labels, our method can automatically propagate those labels to the remaining unlabeled pixels through an iterative procedure. Theoretical analysis of the convergence property of this algorithm is developed along with the corresponding connections with energy minimization of the hidden Markov random field models. To make the algorithm more efficient, we also derive a multi-level way for propagating the labels. Finally the segmentation results on natural images are presented to show the effectiveness of our method.