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Image segmentation for Acute Leukemia Cells using color thresholding and median filter

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

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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.

Item Type: Article
Uncontrolled Keywords: Acute Leukemia; Color Thresholding; Image Segmentation; Median Filter;
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: School of Computing
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 05 Mar 2020 01:32
Last Modified: 05 Mar 2020 01:32

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