流域分割算法在细胞图像分割中的应用  

Application of Watershed Algorithm to Cell Image Segmentation

作　　者：王金涛[1] 刘文耀[1] 路烁[1] 

机构地区：[1]天津大学精密仪器与光电子工程学院,天津300072

出　　处：《西南交通大学学报》2002年第3期290-294,共5页Journal of Southwest Jiaotong University

基　　金：国家 8 6 3光电子主题 30 7资助项目 (86 3 30 7 0 7 0 2 (5 ) )

摘　　要：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像的种子。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 。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.

关 键 词：流域分割算法 细胞图像 图像分析 形态学 医学影像 图像处理 图像分割 

分 类 号：R445[医药卫生—影像医学与核医学] TP391.41[医药卫生—诊断学]