RepSnapping: Efficient Image Cutout for Repeated Scene Elements
RepSnapping: Efficient Image Cutout for Repeated Scene Elements
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DOI：
10.1111/j.1467-8659.2011.02044.x
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发表时间：
2011-09
影响因子：
2.5
通讯作者：
Hua Huang;Lei Zhang;Hong-Chao Zhang
中科院分区：
文献类型：
--
作者：
Hua Huang;Lei Zhang;Hong-Chao Zhang
重复场景元素在自然图像中大量存在。这些重复元素的裁剪通常涉及通过先前的图像分割方法进行的繁琐且费力的用户交互。在本文中，我们提出了RepSnapping，一种新的方法，面向剪切重复的场景元素，用户交互少得多。通过探索重复元素之间的内在相似性，引入一种新的优化模型，在分割过程中线程相关的元素。这里提出的模型可以在扩展图上使用最大流/最小割来实现有效的解决方案。实验表明，RepSnapping比最先进的交互式图像分割和重复检测方法更容易剪切重复的元素。
Repeated scene elements are copious and ubiquitous in natural images. Cutout of those repeated elements usually involves tedious and laborious user interaction by previous image segmentation methods. In this paper, we present RepSnapping, a novel method oriented to cutout of repeated scene elements with much less user interaction. By exploring inherent similarity between repeated elements, a new optimization model is introduced to thread correlated elements in the segmentation procedure. The model proposed here enables efficient solution using max‐flow/min cut on an extended graph. Experiments indicate that RepSnapping facilitates cutout of repeated elements better than the state‐of‐the‐art interactive image segmentation and repetition detection methods.