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Erschienen in:
2007 | OriginalPaper | Buchkapitel
Analysis of Detecting the Malarial Parasite Infected Blood Images Using Statistical Based Approach
verfasst von : S. Raviraja, Gaurav Bajpai, Dr. Sudhir Kumar Sharma
Erschienen in: 3rd Kuala Lumpur International Conference on Biomedical Engineering 2006
Verlag: Springer Berlin Heidelberg
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This work introduces a blood image processing for detecting and classifying malarial parasites in images of Giemsa stained blood slides, in order to evaluate the parasitaemia of the blood. Generally blood images are made up of three different kinds of cells, red, white and blood platelets. Their dimension, shape and their color distinguish these. In malarial blood, the red corpuscles of vertebrates are infected by malarial parasites. The aim of this paper is to detect the red blood cells that are infected by malarial parasites using statistical based approach. Further evaluation of the size and shape of the nuclei of the parasite is also considered.