corner_response
— Searching corners in images.
corner_response(Image : ImageCorner : Size, Weight : )
The operator corner_response
extracts gray value corners in
an image. The formula for the calculation of the response is:
with
I: input image,
R: output image of the filter,
A, and B: smoothed directional derivatives,
C: smoothing of the products of the directional derivatives.
The operator gauss_image
is used for smoothing (W), the
operator sobel_amp
is used for calculating the
derivative .
The corner response function is invariant with regard to rotation.
In order to achieve a suitable dependency of the function R(x,y)
on the local gradient, the parameter Weight
must be set to
0.04. With this, only gray value corners will return positive
values for R(x,y), while straight edges will receive negative
values. The output image type is identical to the input image
type. Therefore, the negative output values are set to 0 if byte
images are used as input images. If this is not desired, the input
image should be converted into a real or int2 image with
convert_image_type
.
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 / uint2 / int2 / real)
Input image.
ImageCorner
(output_object) multichannel-image(-array) →
object (byte / uint2 / int2 / real)
Result of the filtering.
Number of elements: ImageCorner == Image
Size
(input_control) integer →
(integer)
Desired filtersize of the graymask.
Default: 3
Suggested values: 3, 5, 7, 9, 11
Weight
(input_control) real →
(real)
Weighting.
Default: 0.04
Value range:
0.0
≤
Weight
≤
0.3
Minimum increment: 0.001
Recommended increment: 0.01
read_image(&Fabrik,"fabrik"); corner_response(Fabrik,&CornerResponse,3,0.04); local_max(CornerResponse,&LocalMax); disp_image(Fabrik,WindowHandle); set_color(WindowHandle,"red"); disp_region(LocalMax,WindowHandle);
gauss_filter
,
sobel_amp
,
convert_image_type
C.G. Harris, M.J. Stephens,
“A combined corner and edge detector”';
Proc. of the 4th Alvey Vision Conference; August 1988; pp. 147-152.
H. Breit,
“Bestimmung der Kameraeigenbewegung und Gewinnung von
Tiefendaten aus monokularen Bildfolgen”;
Diplomarbeit am Lehrstuhl für Nachrichtentechnik der TU München;
30. September 1990.
Foundation