Biomedical Engineering Reference
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Fig. 2.4 Segmentation result using local thresholding using mean value with different number
of division in column and row. a 2 columns 3 rows. b 2 columns 4 rows. c 2 columns 5 rows. d
3 columns 2 rows. e 4 columns 2 rows. f 5 columns 2 rows. g 4 columns 3 rows. h 4 columns 4
rows. i 4 columns 5 rows
Attributable to the limitations of using simple statistics, various more sophis-
ticated type of thresholding method based on different technique in determining
the threshold value are proposed: one of the methods is the threshold value selec-
tion based on histogram: instead of choosing the mean or median of the image as
the threshold value to separate the object and the background, the histogram-based
thresholding method determine the threshold value based on the histogram shape
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