SauvolaThreshold: Do Sauvola thresholding
In CRImage: CRImage a package to classify cells and calculate tumour cellularity
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Examples
View source: R/SauvolaThreshold.R
Description
Thresholding method using mean and standard deviation.
Usage
1
SauvolaThreshold(allGreyValues)
Arguments
allGreyValues
Vector of gray values.
Details
A threshold for the gray values is returned
Value
The threshold.
Author(s)
Henrik Failmezger, failmezger@cip.ifi.lmu.de
References
J. Sauvola, M. Pietikainen, "Adaptive Document Image Binarization," Pattern Recognition, vol. 33, 225-236, 2000
See Also
createBinaryImage
Examples
1
2
3
4
5
6
7
8
f1= system.file("extdata", "exImg2.jpg", package="CRImage")
print(f1)
img=readImage(f1)
print(img)
#convert to grayscale
imgG=EBImage::channel(img,'grey')
#threshold value
t=SauvolaThreshold(as.vector(imgG))
CRImage documentation built on Nov. 8, 2020, 8:01 p.m.
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Description Usage Arguments Details Value Author(s) References See Also Examples
View source: R/SauvolaThreshold.R
Description
Thresholding method using mean and standard deviation.
Usage
1 | SauvolaThreshold(allGreyValues)
|
Arguments
allGreyValues |
Vector of gray values. |
Details
A threshold for the gray values is returned
Value
The threshold.
Author(s)
Henrik Failmezger, failmezger@cip.ifi.lmu.de
References
J. Sauvola, M. Pietikainen, "Adaptive Document Image Binarization," Pattern Recognition, vol. 33, 225-236, 2000
See Also
createBinaryImage
Examples
1 2 3 4 5 6 7 8 | f1= system.file("extdata", "exImg2.jpg", package="CRImage")
print(f1)
img=readImage(f1)
print(img)
#convert to grayscale
imgG=EBImage::channel(img,'grey')
#threshold value
t=SauvolaThreshold(as.vector(imgG))
|
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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