compare_variation_model — Compare an image to a variation model.
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.
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.
open_framegrabber ('File', 1, 1, 0, 0, 0, 0, 'default', -1, \
'default', -1, 'default', 'testimages.seq', 'default', \
-1, -1, AcqHandle)
read_region (Region, 'model.reg')
area_center (Region, Area, RowRef, ColumnRef)
read_shape_model ('model.shm', TemplateID)
read_variation_model ('model.var', ModelID)
for K := 1 to 10000 by 1
grab_image (Image, AcqHandle)
find_shape_model (Image, TemplateID, 0, rad(360), 0.5, 1, 0.5, \
'true', 4, 0.9, Row, Column, Angle, Score)
dev_display (Image)
if (|Score| == 1)
vector_angle_to_rigid (Row, Column, Angle, RowRef, \
ColumnRef, 0, HomMat2D)
affine_trans_image (Image, ImageTrans, HomMat2D, 'constant', \
'false')
compare_variation_model (ImageTrans, RegionDiff, ModelID)
dev_display (RegionDiff)
endif
endfor
close_framegrabber (AcqHandle)
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.
prepare_variation_model,
prepare_direct_variation_model
compare_ext_variation_model,
dyn_threshold
get_thresh_images_variation_model
Matching