重叠细胞图像分离算法的设计

在实际的细胞图像中，经常会遇到重叠现象（又称为聚堆），即多个细胞聚一起的情形，这给后续的分析处理带来了困难，因此需要设计一个有效的算法，能够将这些重叠在一起的细胞群分离为单个的细胞，文中针对二值化的图像，提出了一个基于形态学的算法，该方法首先利用腐蚀操作，以确定聚堆细胞最终分离为单个细胞的个数，然后再根据腐蚀后的结果，在原妈的二值图像上找到了分离点，从而最终有效地将重叠细胞分离为单个细胞，文中主要

DESIGN OF A SEPARATING ALGORITHM FOR OVERLAPPING CELL IMAGES

The overlapping phenomenon (also called clustering) often appears in actual cell images, i.e., there are some cells clustering together to form a big area. This phenomenon causes difficulty for consequent process, so it's necessary to design an effective algorithm to separate the clustering cells into single cells. In this paper a feasible method for binary images is proposed based on mathematical morphology. First, an erosion operator is applied to determine the number of single cells from clustering cells, and then based on the erosion result, the separating points on the original binary image are searched and these separating points are used to separate the clustering cells into single cells. The design and implementation of algorithm are detailed in this paper, and the experimental results are given also.