Malaria Disease Identification and Analysis Using Image Processing

Abstract
Authors
Keywords
Conclusion
References

Malaria is an infectious disease. According to World Health Organization (WHO) it affects one million people face deaths each year. There are various methods to analyses malaria using manual microscopy is considered to be However it requires manual assessment, this diagnostic method is dispose to human error and time consuming, even in experienced hands. The this study is to improve an unsupervised, sensitive and sturdy which lessens human trust as well as reduces material cost and is, so, more method compatible in applying diagnostic criteria.

Published In : IJCAT Journal Volume 1, Issue 6

Date of Publication : 31 July 2014

Pages : 263 - 269

Figures :10

Tables : 02

Publication Link : Malaria Disease Identification and Analysis Using Image Processing

Sneha Chavan : Dept. of Electronics & Telecommunication, University of Pune, MIT College of engineering, Kotharud Pune, Maharashtra, India.

Dr. Manoj Nagmode : Dept. of Electronics & Telecommunication, University of Pune, MIT College of engineering, Kotharud Pune, Maharashtra, India.

RBC Component

Microscopic images

Parasites

Feature Extraction

SVM Classifier

ANN Classifier

This project addresses how the identification of malaria diseases is possible using image processing by effectively analyzing various parameter of blood cell image by using GLCM as Energy and other like Skewness, Kurtosis, and Standard Deviation. The experimental results indicate that the proposed approach is a valuable approach, which can be significantly support an accurate identification of malaria diseases in a little computational effort. There can be mistake in counting manually the number of RBC & WBC (process of Giemsa) as the boundaries are not clearly defined or visible which lead us to the error in wrong decision. So to solve this problem the developed algorithm be more helpful the other techniques. As this system can meet the real time application requirements, so we can easily have the standalone working version of this system.

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