imgRoberts: Roberts 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 Roberts method matrices:
H\_r H\_c
0 0 -1 || -1 0 0
0 1 0 || 0 1 0
0 0 0 || 0 0 0
Usage
1
imgRoberts(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 <- imgRoberts(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 Roberts method matrices:
| H\_r | H\_c | |||||
| 0 | 0 | -1 | || | -1 | 0 | 0 |
| 0 | 1 | 0 | || | 0 | 1 | 0 |
| 0 | 0 | 0 | || | 0 | 0 | 0 |
Usage
1 | imgRoberts(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 <- imgRoberts(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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