Operator Reference
compare_variation_model (Operator)
compare_variation_model — Compare an image to a variation model.
Signature
Description
compare_variation_model compares the input image
Image to the variation model given by ModelID.
Before compare_variation_model can be called, the two
internal threshold images of the variation model must have been
created with prepare_variation_model or
prepare_direct_variation_model. Let c(x,y)
denote the input image Image and
denote the two threshold images (see prepare_variation_model
or prepare_direct_variation_model). Then the output region
Region contains all points that differ substantially from
the model, i.e., the points that fulfill the following condition:
If only too bright or too dark errors should be segmented the
operator compare_ext_variation_model can be used.
Execution Information
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Automatically parallelized on tuple level.
- Automatically parallelized on domain level.
Parameters
Image (input_object) singlechannelimage(-array) → object (byte / int2 / uint2)
Image of the object to be compared.
Region (output_object) region(-array) → object
Region containing the points that differ substantially from the model.
ModelID (input_control) variation_model → (handle)
ID of the variation model.
Example (HDevelop)
read_shape_model ('model.shm', TemplateID)
read_variation_model ('model.var', ModelID)
for K := 1 to 10 by 1
read_image (Image, 'pen-' + K$'02')
find_generic_shape_model (Image, TemplateID, MatchResultID, \
NumMatchResult)
get_generic_shape_model_result (MatchResultID, 'all', 'hom_mat_2d', \
HomMat2D)
dev_display (Image)
if (NumMatchResult == 1)
affine_trans_image (Image, ImageTrans, HomMat2D, 'constant', \
'false')
compare_variation_model (ImageTrans, RegionDiff, ModelID)
dev_display (RegionDiff)
endif
endfor
Result
compare_variation_model returns 2 (
H_MSG_TRUE)
if all parameters are
correct and if the internal threshold images have been generated
with prepare_variation_model or
prepare_direct_variation_model.
Possible Predecessors
prepare_variation_model,
prepare_direct_variation_model
Possible Successors
Alternatives
compare_ext_variation_model,
dyn_threshold
See also
get_thresh_images_variation_model
Module
Matching