Red blood cell image enhancement techniques for cells with overlapping condition
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 imag...
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| Format: | Article |
| Language: | en |
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African Journal Online (AJOL)
2017
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| Online Access: | http://eprints.uthm.edu.my/5190/1/AJ%202017%20%28320%29%20Red%20blood%20cell%20image%20enhancement%20techniques.pdf http://eprints.uthm.edu.my/5190/ http://dx.doi.org/10.4314/jfas.v9i4s.35 |
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| author | Oussama, L. A. Jamil, M. M. W. M., Hafizah Ambar, R. |
| author_facet | Oussama, L. A. Jamil, M. M. W. M., Hafizah Ambar, R. |
| author_sort | Oussama, L. |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. |
| format | Article |
| id | my.uthm.eprints-5190 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2017 |
| publisher | African Journal Online (AJOL) |
| record_format | eprints |
| spelling | my.uthm.eprints-51902022-01-06T04:14:27Z http://eprints.uthm.edu.my/5190/ Red blood cell image enhancement techniques for cells with overlapping condition Oussama, L. A. Jamil, M. M. W. M., Hafizah Ambar, R. TK Electrical engineering. Electronics Nuclear engineering 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. African Journal Online (AJOL) 2017 Article PeerReviewed text en http://eprints.uthm.edu.my/5190/1/AJ%202017%20%28320%29%20Red%20blood%20cell%20image%20enhancement%20techniques.pdf Oussama, L. and A. Jamil, M. M. and W. M., Hafizah 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 1112-9867 http://dx.doi.org/10.4314/jfas.v9i4s.35 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Oussama, L. A. Jamil, M. M. W. M., Hafizah Ambar, R. Red blood cell image enhancement techniques for cells with overlapping condition |
| title | Red blood cell image enhancement techniques for cells with overlapping condition |
| title_full | Red blood cell image enhancement techniques for cells with overlapping condition |
| title_fullStr | Red blood cell image enhancement techniques for cells with overlapping condition |
| title_full_unstemmed | Red blood cell image enhancement techniques for cells with overlapping condition |
| title_short | Red blood cell image enhancement techniques for cells with overlapping condition |
| title_sort | red blood cell image enhancement techniques for cells with overlapping condition |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.uthm.edu.my/5190/1/AJ%202017%20%28320%29%20Red%20blood%20cell%20image%20enhancement%20techniques.pdf http://eprints.uthm.edu.my/5190/ http://dx.doi.org/10.4314/jfas.v9i4s.35 |
| url_provider | http://eprints.uthm.edu.my/ |