Image segmentation for Acute Leukemia Cells using color thresholding and median filter
Acute leukemia is a kind of the malignant disease which may lead to death due to its characteristic of rapid development of immature blood cells. Recently, several image processing techniques have been implemented to assist the task of acute leukemia diagnosis. The segmentation of acute leukemia cel...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Universiti Teknikal Malaysia Melaka (UTeM)
2018
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| Online Access: | https://repo.uum.edu.my/id/eprint/26883/1/JTEC%2010%201-5%202018%2069%2074.pdf |
| _version_ | 1803629208375656448 |
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| author | Leow, Bin Toh Mashor, M.Y. Ehkan, P. Rosline, H. Junoh, A.K. Harun, Nor Hazlyna |
| author_facet | Leow, Bin Toh Mashor, M.Y. Ehkan, P. Rosline, H. Junoh, A.K. Harun, Nor Hazlyna |
| author_sort | Leow, Bin Toh |
| collection | UUM |
| description | Acute leukemia is a kind of the malignant disease which may lead to death due to its characteristic of rapid development of immature blood cells. Recently, several image processing techniques have been implemented to assist the task of acute leukemia diagnosis. The segmentation of acute leukemia cells is an important key to determine the accuracy of its classification task. This paper proposed a combined technique of color thresholding based on the RGB color information from acute leukemia slide images and median filter to segment the leukemia cells from the unwanted regions such as background and red blood cells. The presented results proved that the proposed technique was successfully segmented the acute leukemia cells from the Acute Myeloid Leukemia and Acute Lymphocytic Leukemia slide images, with the average accuracy rate of 97.63% and 97.64% respectively. Therefore, the proposed image segmentation technique could benefits the classification process of acute leukemia. |
| first_indexed | 2024-07-04T06:34:12Z |
| format | Article |
| id | uum-26883 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:34:12Z |
| publishDate | 2018 |
| publisher | Universiti Teknikal Malaysia Melaka (UTeM) |
| record_format | dspace |
| spelling | uum-268832020-03-05T01:32:13Z https://repo.uum.edu.my/id/eprint/26883/ Image segmentation for Acute Leukemia Cells using color thresholding and median filter Leow, Bin Toh Mashor, M.Y. Ehkan, P. Rosline, H. Junoh, A.K. Harun, Nor Hazlyna QA76 Computer software Acute leukemia is a kind of the malignant disease which may lead to death due to its characteristic of rapid development of immature blood cells. Recently, several image processing techniques have been implemented to assist the task of acute leukemia diagnosis. The segmentation of acute leukemia cells is an important key to determine the accuracy of its classification task. This paper proposed a combined technique of color thresholding based on the RGB color information from acute leukemia slide images and median filter to segment the leukemia cells from the unwanted regions such as background and red blood cells. The presented results proved that the proposed technique was successfully segmented the acute leukemia cells from the Acute Myeloid Leukemia and Acute Lymphocytic Leukemia slide images, with the average accuracy rate of 97.63% and 97.64% respectively. Therefore, the proposed image segmentation technique could benefits the classification process of acute leukemia. Universiti Teknikal Malaysia Melaka (UTeM) 2018 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/26883/1/JTEC%2010%201-5%202018%2069%2074.pdf Leow, Bin Toh and Mashor, M.Y. and Ehkan, P. and Rosline, H. and Junoh, A.K. and Harun, Nor Hazlyna (2018) Image segmentation for Acute Leukemia Cells using color thresholding and median filter. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10 (1-5). pp. 69-74. ISSN 2180-1843 https://journal.utem.edu.my/index.php/jtec/article/view/3632 |
| spellingShingle | QA76 Computer software Leow, Bin Toh Mashor, M.Y. Ehkan, P. Rosline, H. Junoh, A.K. Harun, Nor Hazlyna Image segmentation for Acute Leukemia Cells using color thresholding and median filter |
| title | Image segmentation for Acute Leukemia Cells using color thresholding and median filter |
| title_full | Image segmentation for Acute Leukemia Cells using color thresholding and median filter |
| title_fullStr | Image segmentation for Acute Leukemia Cells using color thresholding and median filter |
| title_full_unstemmed | Image segmentation for Acute Leukemia Cells using color thresholding and median filter |
| title_short | Image segmentation for Acute Leukemia Cells using color thresholding and median filter |
| title_sort | image segmentation for acute leukemia cells using color thresholding and median filter |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/26883/1/JTEC%2010%201-5%202018%2069%2074.pdf |
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