期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2019
卷号：17
期号：1
页码：194-201
DOI：10.12928/telkomnika.v17i1.11586
出版社：Universitas Ahmad Dahlan
摘要：Malaria is a most dangerous mosquito borne disease and its infection spread through the
infected mosquito. It especially affects the pregnant females and Children less than 5 years age. Malarial
species commonly occur in five different shapes, Therefore, to avoid this crucial disease the contemporary
researchers have proposed image analysis based solutions to mitigate this death causing disease. In this
work, we propose diagnosis algorithm for malaria which is implemented for testing and evaluation in
Matlab. We use Filtering and classification along with median filter and SVM classifier. Our proposed
method identifies the infected cells from rest of blood images. The Median filtering smoothing technique is
used to remove the noise. The feature vectors have been proposed to find out the abnormalities in blood
cells. Feature vectors include (Form factor, measurement of roundness, shape, count total number of red
cells and parasites). Primary aim of this research is to diagnose malaria by finding out infected cells.
However, many techniques and algorithm have been implemented in this field using image processing but
accuracy is not up to the point. Our proposed algorithm got more efficient results along with high accuracy
as compared to NCC and Fuzzy classifier used by the researchers recently.
其他摘要：Malaria is a most dangerous mosquito borne disease and its infection spread through the infected mosquito. It especially affects the pregnant females and Children less than 5 years age. Malarial species commonly occur in five different shapes, Therefore, to avoid this crucial disease the contemporary researchers have proposed image analysis based solutions to mitigate this death causing disease. In this work, we propose diagnosis algorithm for malaria which is implemented for testing and evaluation in Matlab. We use Filtering and classification along with median filter and SVM classifier. Our proposed method identifies the infected cells from rest of blood images. The Median filtering smoothing technique is used to remove the noise. The feature vectors have been proposed to find out the abnormalities in blood cells. Feature vectors include (Form factor, measurement of roundness, shape, count total number of red cells and parasites). Primary aim of this research is to diagnose malaria by finding out infected cells. However, many techniques and algorithm have been implemented in this field using image processing but accuracy is not up to the point. Our proposed algorithm got more efficient results along with high accuracy as compared to NCC and Fuzzy classifier used by the researchers recently.
关键词：feature vectors;median filter;RBC;RGB to gray scale;SVM classifier
