Iterative thresholding for segmentation of cells from noisy images

被引：71

作者：

Wu, HS

Barba, J

Gil, J

机构：

[1] CUNY Mt Sinai Sch Med, Dept Pathol, New York, NY 10029 USA

[2] CUNY City Coll, Dept Elect Engn, New York, NY 10031 USA

来源：

JOURNAL OF MICROSCOPY-OXFORD | 2000年 / 197卷

关键词：

cell images; cytological images; image segmentation; quantitative pathology;

D O I：

10.1046/j.1365-2818.2000.00653.x

中图分类号：

TH742 [显微镜];

学科分类号：

摘要：

We introduce an iterative thresholding algorithm for the segmentation of cells from noisy cell images. The thresholding image, which is initially a constant, changes iteratively with both the previous segmentation and image local activity. Experimental results for both synthesized and real cell images are provided to demonstrate the performance of the algorithm.

引用

页码：296 / 304

页数：9