白细胞图像的自动分割算法  

Automatic segmentation algorithm for leukocyte images

作　　者：顾广华[1] 崔冬[1] 

机构地区：[1]燕山大学信息科学与工程学院,秦皇岛066004

出　　处：《仪器仪表学报》2009年第9期1874-1879,共6页Chinese Journal of Scientific Instrument

基　　金：河北省科学技术研究与发展计划项目(072135211)资助

摘　　要：根据白细胞核在其饱和度分量S和绿分量G中的分布特点,构造细胞变换图像,提取细胞核,实现白细胞的初步定位。对存在细胞粘连的细胞图像,利用细胞边缘的相位角变化来检测细胞粘连区域并除之,采用线性插值法拟合边缘曲线,得到封闭的白细胞边缘轮廓,最终提取白细胞。本算法可自动分割白细胞,具有很好的分割效果。The paper constructs a transpositional cell image based on the saturation and green component images according to different distribution characteristic of leukocyte nucleus in the two images. The leukocyte nucleus can be extracted from the transpositional image and the initial location of the leukocyte can be achieved. For the overlapped cell images, firstly the overlapping regions are discovered from the phase change of the leukocyte contour and eliminated. Then the edge curve is re-constructed to get a closed contour using linear interpolation. Finally, the leukocyte can be extracted successfully. The proposed algorithm can be used to process the leukocyte automatically and achieve good results of leukocyte segmentation.

关 键 词：白细胞分割 变换图像 细胞粘连 相位检测 线性插值 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]