|Title||Automated Malaria Parasite Detection in Thin Blood Films:- A Hybrid, Illumination and Colour Constancy Insensitive Morphological Approach|
|Authors||Reni, S., Kale, I. and Morling, R.C.S.|
This paper illustrates the automated diagnosis of malaria parasite (Plasmodium species) in microscopic images of Giemsa stained thin blood films. The procedure adapts a morphological approach for blood cell identification and uses the image features such as intensity, histogram, relative size and geometry for further analysis. Two methods of object classification have been described for parasite detection; one based on relative size and morphology and the other based on intensity variation. An analytical study on both methods has been performed further to validate the accuracy of the methods.
|Conference||IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS|
|Accepted author manuscript|
|Journal citation||pp. 240-243|
|Digital Object Identifier (DOI)||https://doi.org/10.1109/APCCAS.2012.6419016|