kirsch_amp
— Detect edges (amplitude) using the Kirsch operator.
kirsch_amp(Image : ImageEdgeAmp : : )
kirsch_amp
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:
-3 -3 5 -3 5 5 5 5 5 5 5 -3
-3 0 5 -3 0 5 -3 0 -3 5 0 -3
-3 -3 5 -3 -3 -3 -3 -3 -3 -3 -3 -3
5 -3 -3 -3 -3 -3 -3 -3 -3 -3 -3 -3
5 0 -3 5 0 -3 -3 0 -3 -3 0 5
5 -3 -3 5 5 -3 5 5 5 -3 5 5
The result image contains the maximum response of all masks.
Note that filter operators may return unexpected results if an image with a reduced domain is used as input. Please refer to the chapter Filters.
Image
(input_object) (multichannel-)image(-array) →
object (byte / int2 / uint2)
Input image.
ImageEdgeAmp
(output_object) image(-array) →
object (byte / int2 / uint2)
Edge amplitude (gradient magnitude) image.
read_image(Image,'fabrik') kirsch_amp(Image,Kirsch_amp) threshold(Kirsch_amp,Edges,128,255)
kirsch_amp
always returns 2 (
H_MSG_TRUE)
. If the input is empty
the behavior can be set via
set_system('no_object_result',<Result>)
.
If necessary, an exception is raised.
binomial_filter
,
gauss_filter
,
sigma_image
,
median_image
,
smooth_image
sobel_amp
,
frei_amp
,
prewitt_amp
,
robinson_amp
,
roberts
bandpass_image
,
laplace_of_gauss
Foundation