OSA's Digital Library

Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 1, Iss. 9 — Sep. 20, 2003
  • pp: 520–522

Robust protein microarray image segmentation using improved seeded region growing algorithm

Liqiang Wang, Xuxiang Ni, and Zukang Lu  »View Author Affiliations


Chinese Optics Letters, Vol. 1, Issue 9, pp. 520-522 (2003)


View Full Text Article

Acrobat PDF (391 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations
  • Export Citation/Save Click for help

Abstract

Protein microarray technology has recently emerged as a powerful tool for biomedical research. Before automatic analysis the protein microarray images, protein spots in the images must be determined appropriately by spot segmentation algorithm. In this paper, an improved seeded region growing (ISRG) algorithm for protein microarray segmentation is presented, the seeds are obtained by finding the positions of the printed spots, and the protein spot regions are grown through these seeds. The experiment results show that the presented algorithm is accurate for adaptive shape segmentation and robust for proteinmicroarray images contaminated by noise.

© 2005 Chinese Optics Letters

OCIS Codes
(100.5010) Image processing : Pattern recognition
(170.3880) Medical optics and biotechnology : Medical and biological imaging

Citation
Liqiang Wang, Xuxiang Ni, and Zukang Lu, "Robust protein microarray image segmentation using improved seeded region growing algorithm," Chin. Opt. Lett. 1, 520-522 (2003)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-1-9-520

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited