Clustering-Based Touching-Cells Division

Hao-jun Sun, Qingnan Zeng
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引用次数: 2

Abstract

Automated cell segmentation of microscopy cell images play an important role in various applications of cell images analysis. Nowadays, the automated methods for cell segmentation is still challenging in situations, not only the fuzzy microscopy cell images but also where there might be touching cells. In this paper we propose a method for identifying the touching cells. we use a combination of image segmentation, extraction of connected components, Hough transform and cluster analysis to separate the touching cells.
基于聚类的触摸细胞分裂
显微细胞图像的自动分割在细胞图像分析的各种应用中起着重要的作用。目前,无论是在模糊的显微镜细胞图像中,还是在可能存在接触细胞的情况下,细胞分割的自动化方法都面临着挑战。本文提出了一种识别触摸细胞的方法。采用图像分割、连通分量提取、霍夫变换和聚类分析相结合的方法分离触摸细胞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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