Red blood cell image enhancement techniques for cells with overlapping condition

Oussama, L. and A. Jamil, M. M. and Hafizah, W. M. and Ambar, R. (2017) Red blood cell image enhancement techniques for cells with overlapping condition. Journal of Fundamental and Applied Sciences, 9 (4S). pp. 614-628. ISSN 11129867

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Official URL: http://dx.doi.org/10.4314/jfas.v9i4s.35

Abstract

This paper proposes an automatic algorithm consists of techniques that can separate overlapping RBC for enhancing RBC image to improve counting precision. The proposed algorithm is able to automatically count RBC of colour blood smear images based on the quality or challenging conditions of the images such as poor illumination of blood smear and most importantly overlapping RBC. The algorithm comprises of two RBC segmentation that can be selected based on the image quality, circle mask technique and grayscale blood smear image processing. Detail explanations including experimental results that show the effectiveness of the proposed techniques are described in this paper. The proposed algorithm has been successfully detect and separate agglomerate RBC with 96% accuracy. Algorithm validation was verified with RBC distribution area and confusion matrix.

Item Type:Article
Uncontrolled Keywords:Red blood cell (RBC); complete blood count (CBC); automated segmentation; overlap RBC
Subjects:Q Science > QH Natural history > QH301 Biology
Divisions:Faculty of Electrical and Electronic Engineering > Department of Electronic Engineering
ID Code:10593
Deposited By:Mr. Mohammad Shaifulrip Ithnin
Deposited On:11 Feb 2019 08:51
Last Modified:11 Feb 2019 08:51

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