基于曲率和活动轮廓模型的重叠细胞分割算法

提出了一种基于曲率和活动轮廓模型的重叠细胞分割算法,用于解决重叠细胞显微图像边界难以自动分离的问题.该算法使用Otsu算法和形态学滤波得到重叠细胞整体轮廓,并根据其曲率信息来定位细胞边界接触点,再采用活动轮廓模型分割得到重叠区域轮廓,最后结合边界接触点信息将其与整体轮廓拼接得到单个细胞轮廓.实验结果表明,算法实现了重叠细胞的分割,分割得到的细胞完整度高,且算法具有一定的鲁棒性,表明该算法用于重叠细胞的分割是可行、有效的.

Overlapping Cells Segmentation Algorithm Based on Curvature and Active Contour Model

In this paper, an algorithm of overlapping cell segmentation based on curvature and active contour model has been proposed to solve the problem that it is difficult to automatically separate microscopic image boundaries of overlapping cells.The algorithm uses the Otsu algorithm and morphological filtering to get the whole outline of the overlapping cells, and according to its curvature information to locate the border contact points of the two cells.Then an active contour model is used to extract the contour of the overlapping region.Finally, according to the information of the border contact points, the algorithm obtains the single cell''s contour by connecting the whole outline of the overlapping cells to the contour of the overlapping region.The experimental results show that the proposed algorithm can extract the contour of the overlapping cells, the integrity of the segmented cell is high, and the algorithm is robust to a certain extent.The algorithm for segmentation of overlapping cells is feasible and effective.