Comparison of Texture Features Used for Classification of Life Stages of Malaria Parasite
Joint Authors
Bairagi, Vinayak K.
Charpe, Kshipra C.
Source
International Journal of Biomedical Imaging
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-09
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Malaria is a vector borne disease widely occurring at equatorial region.
Even after decades of campaigning of malaria control, still today it is high mortality causing disease due to improper and late diagnosis.
To prevent number of people getting affected by malaria, the diagnosis should be in early stage and accurate.
This paper presents an automatic method for diagnosis of malaria parasite in the blood images.
Image processing techniques are used for diagnosis of malaria parasite and to detect their stages.
The diagnosis of parasite stages is done using features like statistical features and textural features of malaria parasite in blood images.
This paper gives a comparison of the textural based features individually used and used in group together.
The comparison is made by considering the accuracy, sensitivity, and specificity of the features for the same images in database.
American Psychological Association (APA)
Bairagi, Vinayak K.& Charpe, Kshipra C.. 2016. Comparison of Texture Features Used for Classification of Life Stages of Malaria Parasite. International Journal of Biomedical Imaging،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1105425
Modern Language Association (MLA)
Bairagi, Vinayak K.& Charpe, Kshipra C.. Comparison of Texture Features Used for Classification of Life Stages of Malaria Parasite. International Journal of Biomedical Imaging No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1105425
American Medical Association (AMA)
Bairagi, Vinayak K.& Charpe, Kshipra C.. Comparison of Texture Features Used for Classification of Life Stages of Malaria Parasite. International Journal of Biomedical Imaging. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1105425
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1105425