Saturday 23rd of September 2017
 

Red Blood Cell Recognition usingGeometrical Features


Jameela Ali

This paper presents the research on analysis and extraction of features of red blood cells for anemia recognition. Images from the blood samples collected at a hospital were used. Three geometrical features were used to distinguish between normal and anemic cells; Fourier descriptors, aspect ratio and moments. The City block distance measure was used as a criterion to determine the similarity degree between the tested samples and the established templates. Test results indicate that combination geometrical features gave high discriminative power approaching 98%.

Keywords: Red blood cells, pattern recognition, Fourier descriptors, aspect ratio, moments

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ABOUT THE AUTHOR

Jameela Ali
University Tenaga National -Malaysia


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