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KMID : 1137820210420040159
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의공학회지
2021 Volume.42 No. 4 p.159 ~ p.166
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Multi-cell Segmentation of Glioblastoma Combining Marker-based Watershed and Elliptic Fitting Method in Fluorescence Microscope Image
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Lee Ji-Young
Jeong Da-Eun
Lee Hyun-Woo
Yang Se-Jung
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Abstract
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In order to analyze cell images, accurate segmentation of each cell is indispensable. However, the reality is that accurate cell image segmentation is not easy due to various noises, dense cells, and inconsistent shape of cells. Therefore, in this paper, we propose an algorithm that combines marker-based watershed segmentation and ellipse fitting method for glioblastoma cell segmentation. In the proposed algorithm, in order to solve the over-segmentation problem of the existing watershed method, the marker-based watershed technique is primarily performed through "seeding using local minima". In addition, as a second process, the concave point search using ellipse fitting for final segmentation based on the connection line between the concave points has been performed. To evaluate the performance of the proposed algorithm, we compared three algorithms with other algorithms along with the calculation of segmentation accuracy, and we applied the algorithm to other cell image data to check the generalization and propose a solution.
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KEYWORD
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cell segmentation, glioblastoma, watershed, ellipse fitting, generalization
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