DETECTION OF MALARIA PARASITE USING IMAGE PROCESSING

Authors

  • Akshay Y. Randive Department of Computer Science & Engineering, D.I.E.T Sajjangad Satara, Maharashtra India
  • Amit D. Salunkhe Department of Computer Science & Engineering, D.I.E.T Sajjangad Satara, Maharashtra India
  • Nikhil R. Rajmane Department of Computer Science & Engineering, D.I.E.T Sajjangad Satara, Maharashtra India
  • Amit P. Kadam Department of Computer Science & Engineering, D.I.E.T Sajjangad Satara, Maharashtra India

Keywords:

Malaria parasite detection, image processing, positive-Negative malaria cells,

Abstract

Malaria, a disease that is caused due to female mosquito bites which comes under the plasmodium category.
Detection of malaria is generally done on a microscopic examination of blood sample of the patient. This method takes
time to examine the sample and also a pathologist doctor is needed to examine the sample. The intention of this paper is
to introducing quick and precise method to identify and detect the malaria parasites using the image processing domain.
The blood sample of the patient is taken through a microscope using a camera, for a microscopic image of the sample.
Then after performing various image processing operations, the result is generated, either positive or negative to
malaria. In rural areas, there are possibly less pathologist and experts available, this approach can be used to facilitate
the detection of malaria without the need of a pathologist

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Published

2017-04-25

How to Cite

Akshay Y. Randive, Amit D. Salunkhe, Nikhil R. Rajmane, & Amit P. Kadam. (2017). DETECTION OF MALARIA PARASITE USING IMAGE PROCESSING. International Journal of Advance Engineering and Research Development (IJAERD), 4(4), 117–119. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/2468

Issue

Vol. 4 No. 4 (2017): Volume 4 Issue 4 April 2017

Section

Articles