exhaustive_match_mg — Matching a template and an image in a resolution pyramid.
exhaustive_match_mg is an additional option for the
exhaustive_match performing a matching of the image
Image and the template
ImageTemplate will be moved over all points
of the region of
Image, a matching criterion will be
calculated with regard to the parameter
and the result values will be stored in
Of images having been filtered this way, normally only those areas
with good matching results are of interest. The size of the area to
be searched, i.e. the region of the input image
determines decisively the runtime of the matching filter.
Therefore it is recommendable to use at first
with reduced image resolution in order to determine a
“region of interest” in which good matching results can be expected;
then in this restricted area only the real matching (see also
exhaustive_match) will be executed with normal resolution.
Hereby the Gauss-pyramids of
will be composed (in particular the corresponding regions will be
transformed as well). Then on each level of the resolution pyramids -
starting with the startlevel
Level - the matching inside
the current “region of interest” will be executed. Whereby the
“region of interest” on the startlevel is equivalent to the
region of the input image
After the filtering, a new “region of interest” is determined with
the help of a threshold operation and will be transformed on the
next resolution level:
threshold(...:...:0,Threshold,...:), if Mode = 'dfd' threshold(...:...:Threshold,255,...:), if Mode = 'norm_correlation'
The final matching in the determined “region of interest” will then be
calculated with the highest resolution (
The output image
ImageMatch includes the corresponding
filter result and the final “region of interest”, which
is determined on the result image with the help of a threshold operation.
exhaustive_match_mg therefore is not simply
a filter, but can also be considered as a member of the class of region
The domain of this image will be
Result image and result region: values of the matching criterion within the determined “region of interest”.
Number of elements: ImageMatch == Image
Desired matching criterion.
Default value: 'dfd'
List of values: 'dfd', 'norm_correlation'
Startlevel in the resolution pyramid (highest resolution: Level 0).
Default value: 1
Suggested values: 0, 1, 2, 3, 4, 5, 6, 7, 8
Level <= ld(width(Image)) && Level <= ld(height(Image)) && Level <= ld(width(ImageTemplate)) && Level <= ld(height(ImageTemplate))
Threshold to determine the “region of interest”.
Default value: 30
Suggested values: 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100, 105, 110, 115, 120, 125, 130, 135, 140, 145, 150, 155, 160, 165, 170, 175, 180, 185, 190, 195, 200, 205, 210, 215, 220, 225, 230, 235, 240, 245, 250
Typical range of values:
Minimum increment: 1
Recommended increment: 5
read_image(&Image,"monkey"); disp_image(Image,WindowHandle); draw_rectangle2(WindowHandle,&Row,&Column,&Phi,&Length1,&Length2); gen_rectangle2(&Rectangle,Row,Column,Phi,Length1,Length2); reduce_domain(Image,Rectangle,&Template); exhaustive_match_mg(Image,Template,&ImageMatch,'dfd'1,30); invert_image(ImageMatch,&ImageInvert); local_max(ImageInvert,&BestFit); disp_region(BestFit,WindowHandle);
If the parameter values are correct, the operator
exhaustive_match_mg returns the value TRUE.
If the input is empty (no input images are available) the behavior can
be set via
If necessary, an exception is raised.