Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 12, Pages: 1-5
A. M. Rahmani1*, M. Y. I. Idris1 , R. Ramli1 and H. Arof 2
1 Department of Computer System and Technology, Faculty of Computer Science & Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia; [email protected]
2 Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia
In this paper, we presented a semi-automated tool to analyze red blood cells. We utilized circular Hough transform for circular cells detection. In a light micrograph, the red blood cells may appear in a crescent shape that known as Sicklecell. Thus, we proposed a technique to detect this shape and demonstrated its capability. Overall, our tool recorded 92% of accuracy with 70% and 72% of sensitivity and specificity respectively. Despite the promising performance, several limitations must be overcome and has been highlighted in the conclusions.
Keywords: Cell Count, Deformable Cell, Overlaps Cell, Red Blood Cell, Segmentation
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