1 March 2005 Extraction of leukocyte in a cell image with touching red blood cells
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Abstract
The main difficulty in segmenting a cell image occurs when there are red blood cells touching the leukocyte. Similar brightness of the touched red blood cells with the leukocytes make the separation of the cytoplasm from the red blood cells quite difficult. Conventional approaches were based on the search of the concavities created by contact of two round boundaries as two points to be connected for the separation. Here, we exploit the fact that the boundary of the leukocytes normally has a round shape and a small portion of it is disconnected due to the touching red blood cells. Specifically, at an initial central point of the nucleus in the leukocyte, we can generate the largest possible circle that covers a circular portion of the composite of nucleus and cytoplasm areas. Then, by perturbing the initial central points and selecting only those central points that do not cross the boundary, we can cover most of interior regions in the nucleus and the cytoplasm, separating the leukocyte from the touching red blood cells.
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Chee Sun Won, Chee Sun Won, Jae Yeal Nam, Jae Yeal Nam, Yoonsik Choe, Yoonsik Choe, } "Extraction of leukocyte in a cell image with touching red blood cells", Proc. SPIE 5672, Image Processing: Algorithms and Systems IV, (1 March 2005); doi: 10.1117/12.593335; https://doi.org/10.1117/12.593335
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