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Interactive Segmentation Based on Component-trees

机译:基于组件树的交互式分割

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Component-trees associate to a discrete gray-level image a descriptive data structure induced by the inclusion relation between the binary components obtained at successive level-sets. This article presents an interactive segmentation methodology based on component-trees. It consists of the extraction of a subset of the image component-tree, enabling the generation of a binary object which fits at best (with respect to the gray-level structure of the image) a given binary target selected beforehand in the image. Compared to other interactive segmentation methods, the proposed methodology has the following advantages: (i) the segmentation result is only composed of a union of connected components of the level-sets, which ensures that no 'false contours' are included; (ii) only one image marker is needed: in particular, there is no need to give a marker for the background (contrary to some other methods); (iii) the method is fast and efficient, leading to a result computed in real-time on common image sizes.
机译:分量树将离散的灰度图像与描述性数据结构相关联,该描述性数据结构是由在连续级别集获得的二进制分量之间的包含关系引起的。本文提出了一种基于组件树的交互式分割方法。它包括提取图像组件树的子集,从而能够生成一个二进制对象,该对象最适合(就图像的灰度结构而言)预先在图像中选择的给定二进制目标。与其他交互式分割方法相比,该方法具有以下优点:(i)分割结果仅由水平集的连接部分的并集组成,从而确保不包括“假轮廓”; (ii)仅需要一个图像标记:特别是,不需要为背景提供标记(与某些其他方法相反); (iii)该方法快速高效,可得出针对常见图像尺寸的实时计算结果。

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