Segmentation of Crescent Shape Blood Cells using Circular Hough Transform

A  M  Rahmani; M  Y  I  Idris; R  Ramli  and H  Arof

doi:10.17485/ijst/2015/v8i12/70659

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Segmentation of Crescent Shape Blood Cells using Circular Hough Transform

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8i12/70659

Year: 2015, Volume: 8, Issue: 12, Pages: 1-5

Original Article

Segmentation of Crescent Shape Blood Cells using Circular Hough Transform

A. M. Rahmani^1*, M. Y. I. Idris¹ , R. Ramli¹ and H. Arof²

¹Department of Computer System and Technology, Faculty of Computer Science & Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia; [email protected]

²Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

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