{"title":"Plasmodium Parasite Detection on Thin Blood Smear Image using Double Thresholding and BLOB Analysis","authors":"Jullend Gate, Febri Maspiyanti","doi":"10.1109/INCAE.2018.8579407","DOIUrl":null,"url":null,"abstract":"Detection of the parasite that causes malaria can be made through examination of blood slides observation using a microscope by medical officer. However, to prevent death in people with urgently needed malaria parasite detection can be done rapidly and accurately, mainly in such areas which is lack of experienced medical officer, such as in rural areas in Borneo and Papua. Furthermore, in an effort to malaria diagnosis, the data are inconsistently made with standard procedure, hence the blood smear data produced are non-standard data. This becoming a huge challenge for the researcher to be able to detect parasite on non-standard data. By using microscope, eyepiece camera, and computer, we propose a method to detect the presence of parasite inside the red blood cells using combination of the Double Thresholding techniques and BLOB analysis. Our experimental research using our proposed method, able to obtain average of PPV of 84.43%, and Sensitivity of 85.5%.","PeriodicalId":387859,"journal":{"name":"2018 International Conference on Applied Engineering (ICAE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Applied Engineering (ICAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INCAE.2018.8579407","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Detection of the parasite that causes malaria can be made through examination of blood slides observation using a microscope by medical officer. However, to prevent death in people with urgently needed malaria parasite detection can be done rapidly and accurately, mainly in such areas which is lack of experienced medical officer, such as in rural areas in Borneo and Papua. Furthermore, in an effort to malaria diagnosis, the data are inconsistently made with standard procedure, hence the blood smear data produced are non-standard data. This becoming a huge challenge for the researcher to be able to detect parasite on non-standard data. By using microscope, eyepiece camera, and computer, we propose a method to detect the presence of parasite inside the red blood cells using combination of the Double Thresholding techniques and BLOB analysis. Our experimental research using our proposed method, able to obtain average of PPV of 84.43%, and Sensitivity of 85.5%.