Cell Extraction Method from Time-Series Image of Phase Contrast Microscope

M. Tamura, Toshiyuki Tanaka
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Abstract

In this study, we propose cell extraction method for solving the problem that previous research and common method cause extra segmentation and recognize single cell as plural cells. Proposed method consists of three steps. First, we separate the cell area from background of the image. Second, we classify the cell area into two groups by the size of area. Third, we extract cells from cell area classified each groups. As a result, we can decrease the number of extra segmentation of cell in the image.
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相差显微镜时间序列图像的细胞提取方法
在本研究中,我们提出了细胞提取方法,以解决以往研究和常用方法造成的额外分割,并将单个细胞识别为多个细胞的问题。该方法分为三个步骤。首先,我们将细胞区域从图像的背景中分离出来。其次,我们根据面积的大小将细胞区域分为两组。第三,从细胞面积中提取细胞,将细胞划分为各组。这样可以减少图像中细胞的额外分割次数。
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