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International Journal of Biomedical Imaging
Volume 2016, Article ID 7214156, 9 pages
http://dx.doi.org/10.1155/2016/7214156
Research Article

Comparison of Texture Features Used for Classification of Life Stages of Malaria Parasite

1E & TC Engineering Department, AISSMS Institute of Information Technology, Pune 411001, India
2Electronics Engineering Department, AISSMS Institute of Information Technology, Pune 411001, India

Received 30 September 2015; Revised 7 April 2016; Accepted 18 April 2016

Academic Editor: Guowei Wei

Copyright © 2016 Vinayak K. Bairagi and Kshipra C. Charpe. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.