Color image segmentation using morphological clustering and fusion with automatic scale selection
Color image segmentation using morphological clustering and fusion with automatic scale selection
复制标题
使用形态聚类和融合与自动尺度选择进行彩色图像分割
DOI：
10.1016/j.patrec.2008.11.005
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
C. Charrier
中科院分区：
文献类型：
--
作者：
O. Lézoray;C. Charrier
提出了一种考虑两两颜色投影的彩色图像分割方法。每个成对的投影分析，根据一个无监督的形态聚类，寻找一个2D直方图的主色。这导致在简化之后获得通过叠加组合的三个分割图。叠加过程本身产生图像的过分割，根据相似性准则直到终止准则执行成对区域合并。为了完全自动化的分割，提出了一种能量函数来量化分割质量。后者作为一个性能指标，并在整个分割过程中使用，以调整其参数：无监督形态聚类的规模和区域合并的终止标准。实验结果进行了参考图像数据库和比较与国家的最先进的算法。
In this paper, a color image segmentation method considering pairwise color projections is proposed. Each pairwise projection is analyzed according to an unsupervised morphological clustering which looks for the dominant colors of a 2D histogram. This leads to obtaining three segmentation maps combined by superposition after being simplified. The superposition process itself producing an over-segmentation of the image, a pairwise region merging is performed according to a similarity criterion up to a termination criterion. To fully automate the segmentation, an energy function is proposed to quantify the segmentation quality. The latter acts as a performance indicator and is used all over the segmentation to tune its parameters: the scale of the unsupervised morphological clustering and the termination criterion of region merging. Experimental results are conducted on a reference image database and comparisons with state-of-the-art algorithms.
DOI：
10.1109/34.1000236
发表时间：
2002-05-01
影响因子：
23.6
作者：
Comaniciu, D;Meer, P
通讯作者：
Meer, P