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THRESMLCOMCUR
Section: User Commands (1)
Updated: 16 Mar 1998
Index
NAME
thresMlComCur - multi-level thresholding by Reddi usingcomplexity curve
SYNTAX
thresMlComCur [-mean] [-med] [-scale <scale>]
[-nt <nt>] <inimage> [<outimage>]
DESCRIPTION
thresMlComCurperforms multi-level thresholdingaccording to the method of Reddi et al., here applyingcomplexity curve instead of histogram (see ref).
OPTIONS
- -mean
- Output is mean of pixels between two thresholds.
- -med
- Output is median of pixels between two thresholds.
- -scale
- Output is threshold-level * scale.EX: pixelsbetween 3rd and 4th threshold get value 3*scale.If scale is too large, it is adjusted down to make 255the maximum output value. Default scale is too large.
- -nt no_of_ths
- Desired number of thresholds.
Use onlu one of -mean,-medand -scale.
SEE ALSO
thresMl(1),
thresMlAppScale(3),
thresMlAppMean(3),
thresMlAppMedian(3),
thresMlApply(3),
histoCentroid(3),
thresMlCentroid(3),
thresMlCentroid(3),
mkComCur(3),
thresMlComCur(3),
thresMlReddi(3),
thresMlReddi(1),
thresMlWaHa(3),
thresMlWaHa(1)
RESTRICTIONS
inimagemust have bands with pixel type unsigned byte.1 <= thresholds <= 255.
REFERENCE
- .I S. S. Reddi, S. F. Rudin and H. R. Keshavan
- "An Optimal Multiple Threshold Scheme for Image Segmentation"IEEE Transactions on Systems, Man and Cybernetics,Vol SMC-14, pp 661-665, 1984.
- .I Sei-ichiro Kamata, Richard O. Eason and Eiji Kawaguchi
- "Complexity Curves Versus Histograms and Their Applicationto Image Segmentation", 1070-1077
AUTHOR
Hung Buu Huynh, BLAB, Ifi, UiO
EXAMPLES
# Find 4 thersholds values of mona.img
thresMlComCur -nt 4 mona.img
ID
$Id: thresMlComCur.c,v 1.17 1997/01/14 13:07:08 svein Exp $
Index
- NAME
- SYNTAX
- DESCRIPTION
- OPTIONS
- SEE ALSO
- RESTRICTIONS
- REFERENCE
- AUTHOR
- EXAMPLES
- ID
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