Detection of Malaria Parasite Infected Blood Images ECE Project

Introduction to Detection of Malaria Parasite Infected Blood Images Project:

The effected red blood corpuscles will have a different shape when infected by a malarial parasite. These can detect by using 3D analysis which can improve the diagnosis of the disease. In this paper we will see how 3D analysis is conducted for detected the infected red blood corpuscles. A 3D statistical approach is used for examining the curved structure of the cells and then 3D moments of the curved surface are calculated.

Brief into 3D analysis:

 A statistical analysis is used which diagnoses the 3D moments of the blood samples and compares the infected and the normal red blood corpuscles. The red blood and white blood corpuscles can be easily differentiated as they differ in size and structure. To make a shape analysis of the blood moments we use probability theory.

The region moments of the blood cells represent a normalized grey level image to which the 3D statistical applied. By using this algorithm we can analyze the degree of infection and by further digital analysis we can know the presence of plasmodium in the blood cell. When compared to manual analysis the digital process takes less time foe performing the analysis.

Advantages of using 3D analysis:

There are various chemical processes for detecting the extent of the parasite in the blood but the 3D analysis can give better and efficient results. By using 3D analysis we can make a better diagnosis of the disease. The time taken for performing the test is very less and it is a low cost available method.

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