prewitt_dir
— Detect edges (amplitude and direction) using the Prewitt operator.
prewitt_dir(Image : ImageEdgeAmp, ImageEdgeDir : : )
prewitt_dir
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. The edge directions are returned in ImageEdgeDir
,
and are stored in 2-degree steps, i.e., an edge direction of
degrees mathematically positive sense and
with respect to the horizontal axis is stored as
in the edge direction image. Furthermore, the
direction of the change of intensity is taken into account. Let
denote the image gradient. Then the
following edge directions are returned as :
Points with edge amplitude 0 are assigned the edge direction 255
(undefined direction).
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.
ImageEdgeDir
(output_object) (multichannel-)image(-array) →
object (direction)
Edge direction image.
read_image(Image,'fabrik') prewitt_dir(Image,PrewittA,PrewittD) threshold(PrewittA,Edges,128,255)
prewitt_dir
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
hysteresis_threshold
,
threshold
,
gray_skeleton
,
nonmax_suppression_dir
,
close_edges
,
close_edges_length
edges_image
,
sobel_dir
,
robinson_dir
,
frei_dir
,
kirsch_dir
bandpass_image
,
laplace_of_gauss
Foundation