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📢 Call for Papers — Volume 13, Issue 8 (August 2026) | Submission Deadline: August 31, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-4242

Review On Malaria Parasite Detection Using Image Processing Techniques

Author(s):Kanchan N. Poharkar, Dr. S. A. Ladhake
Institution:Computer Science and Engineering, Sipna COET Amravati
Published In:Vol. 4, Issue 11 — November 2017
Page No.:976-978
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

Malaria is an extremely infectious disease cause due to blood parasite of genus plasmodium. Malaria is aterrible disease in the hematological region causing millions of mortality; hence the fast diagnosing is the extremerequirement of era. Conventional microscopy, which is presently “the gold Standard” for malaria detection hasoccasionally proved ineffective as it takes lots of time and outcomes are complicated to reproduce. Since it poses aglobal health problem, automation of the evaluation method is of high significance. An image processing system is ableto enhance outcomes of detection of malaria parasite cell. A variety of image processing techniques are used in theproposed method. The method proceeds in steps like image transformation, classification and feature extraction. Thismethod assists to reduce time as well as afford the accuracy to detect malaria to certain extent.

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🕮 How to Cite

Kanchan N. Poharkar, Dr. S. A. Ladhake, “Review On Malaria Parasite Detection Using Image Processing Techniques”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 11, pp. 976-978, November 2017.

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Vol. 13 | Issue 8
August 2026