Cell Image Segmentation Directed by Human-Computer Interaction Information
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Considering the low contrast and cell adhesion of cell image, this paper proposes a method to combine the pattern recognition ability of both computer and the human to complete cell image segmentation. It takes human-computer interaction to obtain dynamic threshold and shows the result with different colors. Experimental results show that it has the advantages of easy operation, good segmentation, with better usage value compared with the Otsu method, Kapur method and Niblack method.

    Reference
    Related
    Cited by
Get Citation

吕敏,毛凤翔.人机交互信息引导的细胞图像分割.计算机系统应用,2016,25(1):234-237

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:April 20,2015
  • Revised:June 08,2015
  • Adopted:
  • Online: January 15,2016
  • Published:
Article QR Code
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063