imgRobinson3Level: Robinson 3-level Edge Detection Method
In matiasb/biOps: Image processing and analysis
Description
Usage
Arguments
Value
Examples
Description
This function enhaces image's edges by convoluting with the Robinson 3-level method. Base matrix is:
1 0 -1
1 0 -1
1 0 -1
Usage
1
imgRobinson3Level(imgdata)
Arguments
imgdata
The image
Value
return an imagedata object
Examples
1
2
3
4
5
## Not run:
x <- readJpeg(system.file("samples", "violet.jpg", package="biOps"))
y <- imgRobinson3Level(x)
## End(Not run)
matiasb/biOps documentation built on May 21, 2019, 12:55 p.m.
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Description Usage Arguments Value Examples
Description
This function enhaces image's edges by convoluting with the Robinson 3-level method. Base matrix is:
| 1 | 0 | -1 |
| 1 | 0 | -1 |
| 1 | 0 | -1 |
Usage
1 | imgRobinson3Level(imgdata)
|
Arguments
imgdata |
The image |
Value
return an imagedata object
Examples
1 2 3 4 5 | ## Not run:
x <- readJpeg(system.file("samples", "violet.jpg", package="biOps"))
y <- imgRobinson3Level(x)
## End(Not run)
|
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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