Image Decoloring via Optimized Predominant Component Analysis for Segmentation of Microscopic Yeast Cell Images

I. Bajla, M. Teplan, M. Chvosteková
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引用次数: 2

Abstract

Within the pipeline of microscopic yeast cell image operations, a problem of decoloring is addressed. The approach proposed by Grundland et al. is analyzed and improved. A special color phantom for yeast cell images is constructed. An optimum combination of two controlling parameters of this decoloring method is found for phantom segmentation, by precision and recall characteristics in comparison to Ground truth.
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利用优化的优势成分分析对酵母细胞显微图像进行脱色
在管道的显微镜酵母细胞图像操作,脱色的问题是解决。对Grundland等人提出的方法进行了分析和改进。构建了一种用于酵母细胞图像的彩色体。通过与Ground真值的比较,找到了该脱色方法的两个控制参数的最佳组合。
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