|Table of Contents|

Segmentation of adherent cell image based on iterative erosion

《南京理工大学学报》（自然科学版）[ISSN:1005-9830/CN:32-1397/N]

Issue:
2016年03期
Page:
285-
Research Field:
Publishing date:

Info

Title:
Segmentation of adherent cell image based on iterative erosion
Author(s):
Wang Xin; Hu Yangyang; Yang Huizhong
Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education, Jiangnan University,Wuxi 214122,China
Keywords:
iterative erosion;  adherent cells;  image segmentation;  microscopic cell images;  mathematical morphology operation;  watershed segmentation;  cell seed points;  distance transform method;  limit corrosion method
PACS:
TP274
DOI:
10.14177/j.cnki.32-1397n.2016.40.03.006
Abstract:
To segment microscopic adherent cell images,a new iterative erosion method is presented based on mathematical morphology operation.Iterative corrosion is performed on a binary cell image to generate a cell seed point image.Cell segmentation boundaries are extracted by watershed segmentation,and a final segmented image is obtained.Cell seed points are kept in every corrosion image to avoid deleting the cell seed points in error,and reliable prior information is provided for the subsequent marked watershed segmentation.Experiments show that the algorithm can relieve the over-segmentation problem of the distance transform method and the under-segmentation problem of the limit corrosion method.

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Last Update: 2016-06-30