Name
prewitt_ampprewitt_ampPrewittAmpprewitt_ampPrewittAmpPrewittAmp — Detect edges (amplitude) using the Prewitt operator.
prewitt_ampprewitt_ampPrewittAmpprewitt_ampPrewittAmpPrewittAmp calculates an approximation of the first
derivative of the image data and is used as an edge detector. The
filter is based on the following filter masks:
A =
1 1 1
0 0 0
-1 -1 -1
B =
1 0 -1
1 0 -1
1 0 -1
The result image contains the maximum response of the masks A and
B.
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Automatically parallelized on tuple level.
- Automatically parallelized on channel level.
- Automatically parallelized on domain level.
Edge amplitude (gradient magnitude) image.
read_image(Image,'fabrik')
prewitt_amp(Image,Prewitt)
threshold(Prewitt,Edges,128,255)
read_image(&Image,"fabrik");
prewitt_amp(Image,&Prewitt);
threshold(Prewitt,&Edges,128,255);
read_image(Image,'fabrik')
prewitt_amp(Image,Prewitt)
threshold(Prewitt,Edges,128,255)
read_image(Image,'fabrik')
prewitt_amp(Image,Prewitt)
threshold(Prewitt,Edges,128,255)
read_image(Image,'fabrik')
prewitt_amp(Image,Prewitt)
threshold(Prewitt,Edges,128,255)
read_image(Image,'fabrik')
prewitt_amp(Image,Prewitt)
threshold(Prewitt,Edges,128,255)
prewitt_ampprewitt_ampPrewittAmpprewitt_ampPrewittAmpPrewittAmp always returns 2 (H_MSG_TRUE). If the input is empty
the behaviour can be set via
set_system('no_object_result',<Result>)set_system("no_object_result",<Result>)SetSystem("no_object_result",<Result>)set_system("no_object_result",<Result>)SetSystem("no_object_result",<Result>)SetSystem("no_object_result",<Result>).
If necessary, an exception is raised.
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Foundation