do.hist.norm: Histogram Matching Piecewise Algorithm
In abdhigithub/hatch: Histogram-matching After Tissue Classification to a Healthy control
Description
Usage
Arguments
Value
Description
Histogram Matching Piecewise Algorithm
Usage
1
2
do.hist.norm(rawdata, i.min, i.max, i.s.min, i.s.max, h, m, ctrl_mask,
rangemax = 1)
Arguments
rawdata
The subject image to be matched
i.min
min for subj landmark
i.max
max for subj landmark
i.s.min
min for control landmark
i.s.max
max for control landmark
h
series or quantiles
m
vector of landmarks obtained from control mask
ctrl_mask
Mask created by subsampling to obtain clean landmarks
rangemax
default = 1, Image intensities will range between 0 and 255
Value
Returns Normalized image
abdhigithub/hatch documentation built on May 15, 2019, 3:14 p.m.
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Description Usage Arguments Value
Description
Histogram Matching Piecewise Algorithm
Usage
1 2 | do.hist.norm(rawdata, i.min, i.max, i.s.min, i.s.max, h, m, ctrl_mask,
rangemax = 1)
|
Arguments
rawdata |
The subject image to be matched |
i.min |
min for subj landmark |
i.max |
max for subj landmark |
i.s.min |
min for control landmark |
i.s.max |
max for control landmark |
h |
series or quantiles |
m |
vector of landmarks obtained from control mask |
ctrl_mask |
Mask created by subsampling to obtain clean landmarks |
rangemax |
default = 1, Image intensities will range between 0 and 255 |
Value
Returns Normalized image
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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