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DOI will be assigned to every published paper at no additional charge. 📢 Call for Papers — Volume 13, Issue 10 (October 2026) | Submission Deadline: October 26, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-2468

DETECTION OF MALARIA PARASITE USING IMAGE PROCESSING

Author(s):Akshay Y. Randive, Amit D. Salunkhe, Nikhil R. Rajmane, Amit P. Kadam
Institution:Department of Computer Science & Engineering, D.I.E.T Sajjangad Satara, Maharashtra India
Published In:Vol. 4, Issue 4 — April 2017
Page No.:117-119
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
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 takestime to examine the sample and also a pathologist doctor is needed to examine the sample. The intention of this paper isto 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 tomalaria. In rural areas, there are possibly less pathologist and experts available, this approach can be used to facilitatethe detection of malaria without the need of a pathologist

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🕮 How to Cite

Akshay Y. Randive, Amit D. Salunkhe, Nikhil R. Rajmane, Amit P. Kadam, “DETECTION OF MALARIA PARASITE USING IMAGE PROCESSING”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 4, pp. 117-119, April 2017.

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26 Oct 2026
Vol. 13 | Issue 10
October-2026