Automatic cell segmentation in microscopic color images using ellipse fitting and watershed

DSpace/Manakin Repository

Search OPUS


Advanced Search

Browse

My Account

Show simple item record

dc.contributor.author Park, M
dc.contributor.author jin, JS
dc.contributor.author Peng, Y
dc.contributor.author Summons, D
dc.contributor.author Yu, D
dc.contributor.author Cui, Y
dc.contributor.author Luo, S
dc.contributor.author Felix, WS
dc.contributor.author Santos, L
dc.contributor.author Xu, M
dc.contributor.editor Wu, YLÂJYÂPWÂJ
dc.date.accessioned 2012-02-02T11:10:14Z
dc.date.issued 2010-01
dc.identifier.citation 2010 IEEE/ICME International Conference on Complex Medical Engineering, 2010, pp. 69 - 74
dc.identifier.isbn 978-1 -4244-6843-0
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/16540
dc.description.abstract This paper presents an efficient and innovative method for the automated counting of cells in microscopic image. The performance of watershed-based algorithms for the segmentation of clustered cells has been well demonstrated. The strength of our algorithm lies in the fact that it incorporates knowledge of color in the image. Our method uses the watershed transform with iterative shape alignment and is shown to be more accurate in retaining cell shape. We report a sensitivity of 97% and specificity of 96% when all color bands are used. Our methods could be of value to computer-based systems designed to objectively interpret microscopic images, since they provide a means for accurate cell segmentation.
dc.publisher IEEE Computer Society
dc.relation.isbasedon 10.1109/ICCME.2010.5558869
dc.title Automatic cell segmentation in microscopic color images using ellipse fitting and watershed
dc.type Conference Proceeding
dc.parent 2010 IEEE/ICME International Conference on Complex Medical Engineering
dc.journal.number en_US
dc.publocation Gold Coast Australia en_US
dc.identifier.startpage 69 en_US
dc.identifier.endpage 74 en_US
dc.cauo.name FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.conference IEEE/ICME International Conference on Complex Medical Engineering
dc.for 0903 Biomedical Engineering
dc.personcode 103657
dc.personcode 109684
dc.personcode 118435
dc.percentage 100 en_US
dc.classification.name Biomedical Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom IEEE/ICME International Conference on Complex Medical Engineering en_US
dc.date.activity 20100713 en_US
dc.date.activity 2010-07-13
dc.location.activity Gold Coast en_US
dc.description.keywords NA en_US
dc.description.keywords Cyclical growth parameters · Environmental fluctuations · Gordon-Schaefer model
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computing and Communications
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


Files in this item

This item appears in the following Collection(s)

Show simple item record