From Min Tree to Watershed Lake Tree: Theory and Implementation
From Min Tree to Watershed Lake Tree: Theory and Implementation
复制标题
从 Min Tree 到 Watershed Lake Tree：理论与实现
DOI：
10.1007/978-3-540-30125-7_105
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发表时间：
2004
期刊：
影响因子：
--
通讯作者：
Yanong Zhu
中科院分区：
文献类型：
--
作者：
Xiaoqiang Huang;M. Fisher;Yanong Zhu
分割是图像处理中的经典问题，三十多年来一直是一个活跃的研究课题。数学形态学为图像分割提供的经典工具是连通集算子和分水岭变换。这两种操作都可以应用于以增加的尺度形成嵌套分区的层次结构。本文研究了两种基于数学形态学的图像分割层次，即最大/最小树和分水岭湖树。通过考虑分水岭和最大/最小树图像描述，我们表明，一个分水岭湖树包括一个子集的最小树顶点。
Segmentation is a classical problem in image processing that has been an active research topic for more than three decades. Classical tools provided by mathematical morphology for segmenting images are the connected set operators and the watershed transformation. Both of these operations can be applied to form hierarchies of nested partitions at increasing scales. This paper studies two image partition hierarchies founded in mathematical morphology, namely the max/min tree and the watershed lake tree. By considering watershed and max/min tree image descriptions we show that a watershed lake tree comprises a subset of min tree vertices.
DOI：
10.1109/34.87344
发表时间：
1991-06-01
影响因子：
23.6
作者：
VINCENT, L;SOILLE, P
通讯作者：
SOILLE, P