robinson_amp
— Detect edges (amplitude) using the Robinson operator.
robinson_amp(Image : ImageEdgeAmp : : )
robinson_amp
calculates an approximation of the first
derivative of the image data and is used as an edge detector. In
robinson_amp
the following four of the originally
proposed eight 3x3 filter masks are convolved with
the image. The other four masks are obtained by a multiplication by
-1. All masks contain only the values 0,1,-1,2,-2.
-1 0 1 2 1 0
-2 0 2 1 0 -1
-1 0 1 0 -1 -2
0 1 2 1 2 1
-1 0 1 0 0 0
-2 -1 0 -1 -2 -1
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) (multichannel-)image(-array) →
object (byte / int2 / uint2)
Edge amplitude (gradient magnitude) image.
read_image(Image,'fabrik') robinson_amp(Image,Robinson_amp) threshold(Robinson_amp,Edges,128,255)
robinson_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
,
roberts
bandpass_image
,
laplace_of_gauss
Foundation