imgShenCastan: Shen-Castan Edge Detection Method
In matiasb/biOps: Image processing and analysis
Description
Usage
Arguments
Value
Examples
Description
This function does edge detection using the Shen-Castan algorithm.
Usage
1
imgShenCastan(imgdata, smooth_factor=0.9, thin_factor=2, adapt_window=7, thresh_ratio=0.8, do_hysteresis=1)
Arguments
imgdata
The image
smooth_factor
The smooth factor
thin_factor
The thinning factor
adapt_window
The size of the window for adaptive gradient
thresh_ratio
The percentage of pixels to be above high threshold
do_hysteresis
If true, do hysteresis
Value
return an imagedata object
Examples
1
2
3
4
5
## Not run:
x <- readJpeg(system.file("samples", "violet.jpg", package="biOps"))
y <- imgShenCastan(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 does edge detection using the Shen-Castan algorithm.
Usage
1 | imgShenCastan(imgdata, smooth_factor=0.9, thin_factor=2, adapt_window=7, thresh_ratio=0.8, do_hysteresis=1)
|
Arguments
imgdata |
The image |
smooth_factor |
The smooth factor |
thin_factor |
The thinning factor |
adapt_window |
The size of the window for adaptive gradient |
thresh_ratio |
The percentage of pixels to be above high threshold |
do_hysteresis |
If true, do hysteresis |
Value
return an imagedata object
Examples
1 2 3 4 5 | ## Not run:
x <- readJpeg(system.file("samples", "violet.jpg", package="biOps"))
y <- imgShenCastan(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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