Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/84642
標題: An Blood Smear Image Based Aneima Recognition System
作者: Ching-Lin Wang
Meng-Hsiun Tsai
Yung-Kuan Chan
Yun-Wei Mao
Wei-Chieh Chang
Ko-Wei Lin
Ching-Hua Chiu
關鍵字: RBC;Anemia;Image Segmentation
出版社: Taichung, Taiwan :Graduate Institute of Sports & Health Management, National Chung Hsing University
Project: International Journal of Sport and Exercise Science, Volume 5, Issue 2, Page(s) 19-28.
摘要: 
Anemia 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.
URI: http://hdl.handle.net/11455/84642
Appears in Collections:第05卷 第02期

Files in This Item:
File SizeFormat
84612-2.pdf686.09 kBAdobe PDFView/Open
Show full item record
 

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.