流域分割算法在细胞图像分割中的应用

为克服细胞涂片检测癌症过程中细胞交叠造成图像分析的困难，需将实际细胞图像中交叠在一起的细胞群分离为单个细胞。为此，提出一种基于流域分割算法的二值细胞图像分析方法。首先，用迭代腐蚀方法产生距离图，以从交叠的细胞图像中检测出种子数。然后，将极限腐蚀的集合作为分离交叠细胞图象的种子。最后，以种子区域为基础生长图像，直到除凸集的边界外，原图的像素都被重新吸收。叙述了该算法的设计思想和实现，并给出了实验结果。

Application of Watershed Algorithm to Cell Image Segmentation

To overcome the difficulty caused by the overlapping of cells in the image analysis for cancer diagnosis, a new cell image analysis method is proposed based on watershed algorithm to separate the clustering cells into single ones. Firstly, a distance map is produced to determine the number of seeds from the clustering cells based on iterative erosion. Then, the ultra erosion aggregates are taken as the seeds to separate the cells. Finally, the images are grown from the seed regions until all of the image pixels except the boundaries of convex have been assimilated. The design and implementation of the algorithm and experimental results are presented.