DocumentCode :
1688171
Title :
Bone marrow image segmentation based on multilevel thresholding
Author :
Adollah, R. ; Francis, E.U. ; Mashor, M.Y. ; Harun, N.H.
Author_Institution :
Sch. of Mechatron., Univ. Malaysia Perlis, Kangar, Malaysia
fYear :
2012
Firstpage :
457
Lastpage :
461
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, post-processing 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.
Keywords :
bone; cancer; image segmentation; medical image processing; acute lymphoblastic leukemia; bone marrow image segmentation; image acquisition; image analysis; image preprocessing; multilevel thresholding; Biomedical imaging; Bones; Educational institutions; Histograms; Image segmentation; White blood cells; bone marrow image; image histogram; image segmentation; microscopic images; multilevel tresholding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering (ICoBE), 2012 International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4577-1990-5
Type :
conf
DOI :
10.1109/ICoBE.2012.6179058
Filename :
6179058
Link To Document :
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