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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/21413

Title: Bone marrow image segmentation based on multilevel thresholding
Authors: Robiyanti, Adollah
Elsie Usun, Francis
Mohd Yusoff, Mashor, Prof. Dr.
Nor Hazlyna, Harun
???metadata.dc.contributor.url???: robiyanti@unimap.edu.my
Keywords: Image segmentation;Multilevel tresholding;Image histogram;Bone marrow image;Microscopic images
Issue Date: 27-Feb-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p. 457-461
Series/Report no.: Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012)
Abstract: This paper represents an approach of image segmentation on microscopic bone marrow images by using multilevel tresholding technique. This technique has been applied into two types of images which is normal bone marrow and Acute Lymphoblastic Leukemia (ALL). Generally, image processing technique involved five basic components which are image acquisition, image pre-processing, image segmentation, postprocessing and image analysis. The most critical step in image processing is segmentation of the image. A multilevel tresholding are proposed as a method in segmentation of WBC from its complicated background. This segmentation technique expected to be one of segmentation technique that could possibly to differentiate well between normal bone marrow and ALL in further analysis.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org/
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179058
ISBN: 978-145771989-9
Appears in Collections:Conference Papers
Mohd Yusoff Mashor, Prof. Dr.

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