compare_variation_modelT_compare_variation_modelCompareVariationModelCompareVariationModelcompare_variation_model (Operator)

Name

compare_variation_modelT_compare_variation_modelCompareVariationModelCompareVariationModelcompare_variation_model — Compare an image to a variation model.

Signature

compare_variation_model(Image : Region : ModelID : )

Description

compare_variation_modelcompare_variation_modelCompareVariationModelCompareVariationModelcompare_variation_model compares the input image ImageImageImageimageimage to the variation model given by ModelIDModelIDModelIDmodelIDmodel_id. Before compare_variation_modelcompare_variation_modelCompareVariationModelCompareVariationModelcompare_variation_model can be called, the two internal threshold images of the variation model must have been created with prepare_variation_modelprepare_variation_modelPrepareVariationModelPrepareVariationModelprepare_variation_model or prepare_direct_variation_modelprepare_direct_variation_modelPrepareDirectVariationModelPrepareDirectVariationModelprepare_direct_variation_model. Let c(x,y) denote the input image ImageImageImageimageimage and denote the two threshold images (see prepare_variation_modelprepare_variation_modelPrepareVariationModelPrepareVariationModelprepare_variation_model or prepare_direct_variation_modelprepare_direct_variation_modelPrepareDirectVariationModelPrepareDirectVariationModelprepare_direct_variation_model). Then the output region RegionRegionRegionregionregion 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_modelcompare_ext_variation_modelCompareExtVariationModelCompareExtVariationModelcompare_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

ImageImageImageimageimage (input_object) singlechannelimage(-array) → object (byte / int2 / uint2)

Image of the object to be compared.

RegionRegionRegionregionregion (output_object) region(-array) → object

Region containing the points that differ substantially from the model.

ModelIDModelIDModelIDmodelIDmodel_id (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