Publication:
Blood cell image segmentation using hybrid K-means and median-cut algorithms

Simple item page
dc.Conferencecode89794
dc.Conferencedate25 November 2011 through 27 November 2011
dc.ConferencelocationPenang
dc.Conferencename2011 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2011
dc.citedby7
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Utara Malaysia (UUM)
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorMuda T.Z.T.en_US
dc.contributor.authorSalam R.A.en_US
dc.date.accessioned2024-05-28T08:27:06Z
dc.date.available2024-05-28T08:27:06Z
dc.date.issued2011
dc.description.abstractIn blood cell image analysis, segmentation is crucial step in quantitative cytophotometry. Blood cell images have become particularly useful in medical diagnostics tools for cases involving blood. In this paper, we present a better approach on merging segmentation algorithms of K-means and Median-cut for colour blood cells images. Median-cut technique will be employed after comparing best outcomes from Fuzzy c-means, K-means and Means-shift. We used blood cell images infected with malaria parasites as cell images for our research. The result of proposed method shows better improvement in terms of object segmentations for further feature extraction process. � 2011 IEEE.
dc.description.natureFinalen_US
dc.identifier.ArtNo6190529
dc.identifier.doi10.1109/ICCSCE.2011.6190529
dc.identifier.epage243
dc.identifier.isbn9781460000000
dc.identifier.scopus2-s2.0-84862059145
dc.identifier.spage237
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84862059145&doi=10.1109%2fICCSCE.2011.6190529&partnerID=40&md5=21ca4f91df11a5970948f797d9e2ac62
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/8777
dc.languageEnglish
dc.language.isoen_US
dc.relation.ispartofProceedings - 2011 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2011
dc.sourceScopus
dc.subjectBlood Cell Imagesen_US
dc.subjectFuzzy c-meansen_US
dc.subjectK-meansen_US
dc.subjectMeans-shiften_US
dc.subjectMedian-cuten_US
dc.subjectSegmentationen_US
dc.subjectBlood cell imagesen_US
dc.subjectFuzzy C meanen_US
dc.subjectK-meansen_US
dc.subjectMeans-shiften_US
dc.subjectMedian-cuten_US
dc.subjectBlooden_US
dc.subjectCellsen_US
dc.subjectControl systemsen_US
dc.subjectCytologyen_US
dc.subjectFeature extractionen_US
dc.subjectFuzzy systemsen_US
dc.subjectImage segmentationen_US
dc.titleBlood cell image segmentation using hybrid K-means and median-cut algorithms
dc.typeConference Paperen_US
dspace.entity.typePublication

Files

Collections

Scopus