Automated status identification of microscopic images obtained from malaria thin blood smears

Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011

Volumn , Issue , 2011, Pages

  Anggraini, Dian ^a   Nugroho, Anto Satriyo ^b   Pratama, Christian ^c   Rozi, Ismail Ekoprayitno ^c   Aulia Arif Iskandar, ^a   Reggio Nurtanio Hartono, ^a  

^a Campus EduTown   (Indonesia)

^b AGENCY FOR THE ASSESSMENT AND APPLICATION OF TECHNOLOGY BPPT   (Indonesia)

^c Eijkman Institute of Molecular Biology   (Indonesia)

Author keywords

image segmentation; malaria; thin blood smears; thresholding

Indexed keywords

BLOOD CELL COMPONENTS; BLOOD SMEARS; DIAGNOSTIC TOOLS; DIGITAL IMAGE; GLOBAL HEALTH; GLOBAL THRESHOLDING; GRAY SCALE; IMAGE PROCESSING ALGORITHM; INDONESIA; INFECTED ERYTHROCYTES; LIGHT MICROSCOPES; MALARIA; MALARIA PARASITE; MEDICAL PRACTITIONER; MICROSCOPIC IMAGE; MULTIPLE THRESHOLD; PARASITE-; PERIPHERAL BLOOD; PLASMODIUM FALCIPARUM; SEGMENTED IMAGES; THIN BLOOD SMEARS; THRESHOLDING;

ALGORITHMS; BLOOD; CAMERAS; CELLS; CYTOLOGY; ELECTRICAL ENGINEERING; EXPERT SYSTEMS; INFORMATION SCIENCE; MOLECULAR BIOLOGY;

IMAGE SEGMENTATION;

EID: 80054048755     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEEI.2011.6021762     Document Type: Conference Paper

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