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dc.contributor.authorRobiyanti, Adollah
dc.contributor.authorElsie Usun, Francis
dc.contributor.authorMohd Yusoff, Mashor, Prof. Dr.
dc.contributor.authorNor Hazlyna, Harun
dc.date.accessioned2012-10-18T08:19:48Z
dc.date.available2012-10-18T08:19:48Z
dc.date.issued2012-02-27
dc.identifier.citationp. 457-461en_US
dc.identifier.isbn978-145771989-9
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179058
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/21413
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractThis paper represents an approach of image segmentation on microscopic bone marrow images by using multilevel tresholding technique. This technique has been applied into two types of images which is normal bone marrow and Acute Lymphoblastic Leukemia (ALL). Generally, image processing technique involved five basic components which are image acquisition, image pre-processing, image segmentation, postprocessing and image analysis. The most critical step in image processing is segmentation of the image. A multilevel tresholding are proposed as a method in segmentation of WBC from its complicated background. This segmentation technique expected to be one of segmentation technique that could possibly to differentiate well between normal bone marrow and ALL in further analysis.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Biomedical Engineering (ICoBE 2012)en_US
dc.subjectImage segmentationen_US
dc.subjectMultilevel tresholdingen_US
dc.subjectImage histogramen_US
dc.subjectBone marrow imageen_US
dc.subjectMicroscopic imagesen_US
dc.titleBone marrow image segmentation based on multilevel thresholdingen_US
dc.typeWorking Paperen_US
dc.contributor.urlrobiyanti@unimap.edu.myen_US
dc.contributor.urlelsie_francis86@yahoo.comen_US
dc.contributor.urlyusoff@unimap.edu.myen_US
dc.contributor.urlhazlyna_1973@yahoo.com.myen_US


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