Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/84642
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dc.contributor.authorChing-Lin Wangen_US
dc.contributor.authorMeng-Hsiun Tsaien_US
dc.contributor.authorYung-Kuan Chanen_US
dc.contributor.authorYun-Wei Maoen_US
dc.contributor.authorWei-Chieh Changen_US
dc.contributor.authorKo-Wei Linen_US
dc.contributor.authorChing-Hua Chiuen_US
dc.contributor.otherGraduate Institute of Sports & Health Management, National Chung Hsing Universityen_US
dc.date2013-11zh_TW
dc.date.accessioned2014-11-07T06:26:45Z-
dc.date.available2014-11-07T06:26:45Z-
dc.identifier.urihttp://hdl.handle.net/11455/84642-
dc.description.abstractAnemia diseases have become a worldwide disease. In today's medical technology in diagnose for Red Blood Cells (RBC), medical personnel take the blood sample of patients and through the microscope to observe the blood smear. Blood cell images play an important role in helping diagnosis of the anemia. According to the quantity, size and the contour of the RBC and RBC's disc, the medical can diagnose whether the patient have the symptoms. The Genetic Algorithm Based Parameter Detector (GABPD) helps decide each feature optimal parameter value to recognize the RBC. The research using different 45 blood smear test images and the total number of the RBC is about 1150. The experimental illustrates the RBC can be correctly segmented by the proposed method and the RBC recognition rate can reach 90%. The conclusion is that the sleep quality of the college students seems poor, and going to PE class turns out to be the main way of doing exercise.en_US
dc.language.isoen_USen_US
dc.publisherTaichung, Taiwan :Graduate Institute of Sports & Health Management, National Chung Hsing Universityen_US
dc.relationInternational Journal of Sport and Exercise Science, Volume 5, Issue 2, Page(s) 19-28.en_US
dc.subjectRBCen_US
dc.subjectAnemiaen_US
dc.subjectImage Segmentationen_US
dc.titleAn Blood Smear Image Based Aneima Recognition Systemen_US
dc.typeJournal Articleen_US
item.cerifentitytypePublications-
item.grantfulltextopen-
item.languageiso639-1en_US-
item.fulltextwith fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeJournal Article-
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