A new modified watershed algorithm for image segmentation in cervical cancer cell adhesion
10.7644/j.issn.1674-9960.2014.12.013
- VernacularTitle:一种新的用于宫颈癌粘连细胞图像分割的分水岭算法
- Author:
Yinghong ZHAO
;
Zhongshun ZHOU
;
Cunjie SUN
;
Jie PING
- Publication Type:Journal Article
- Keywords:
uterine cervical neoplasms;
adherent cells;
image segmentation;
watershed algorithm;
level set
- From:
Military Medical Sciences
2014;(12):972-975
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate an effective algorithm for image segmentation in cervical cancer cell adhesion , which enables accurate segmentation of the contour of adherent cells .Methods The images of target cells were extracted from the background area using level set methods , normalized with minimum values of transformation algorithms ,and multi-plied by the gradient image points in the region of interest ( ROI) to inhibit the undesired gradient information before the im-ages of adherent cells were segmented using labeled watershed algorithm .Results and Conclusion Compared to conven-tional watershed segmentation methods , this algorithm is not only effective in image segmentation of adherent cervical cancer cells with uneven staining and more accurate segmentation lines established around the contours of adherent cells , but of high clinical value .
