A parametric fitting algorithm for segmentation of cell images

被引：86

作者：

Wu, HS

Barba, J

Gil, J

机构：

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

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

来源：

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 1998年 / 45卷 / 03期

关键词：

biomedical image processing; cell images; image segmentation; quantitative pathology;

D O I：

10.1109/10.661165

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper presents a parametric fitting algorithm for segmentation of cervical and breast cell images from cytology smears. A parametric elliptical model for cells is introduced and the parameters adjusted to fit the cell shapes while minimizing a cost function. Segmentation results of noisy human cervical cell and textured breast cell images demonstrate that the proposed parametric fitting algorithm is very successful in segmentation of images of both nonoverlapped and overlapped elliptically shaped cells.

引用

页码：400 / 407

页数：8

共 19 条

[1] SEEDED REGION GROWING [J].