compare_variation_modelCompareVariationModelCompareVariationModelcompare_variation_modelT_compare_variation_model🔗

Short description🔗

compare_variation_modelCompareVariationModelCompareVariationModelcompare_variation_modelT_compare_variation_model — Compare an image to a variation model.

Signature🔗

compare_variation_model( image Image, out region Region, variation_model ModelID )

Description🔗

compare_variation_modelCompareVariationModel compares the input image Imageimageimage to the variation model given by ModelIDmodelIDmodel_id. Before compare_variation_modelCompareVariationModel can be called, the two internal threshold images of the variation model must have been created with prepare_variation_modelPrepareVariationModel or prepare_direct_variation_modelPrepareDirectVariationModel. Let c(x,y) denote the input image Imageimageimage and \(t_{u,l}\) denote the two threshold images (see prepare_variation_modelPrepareVariationModel or prepare_direct_variation_modelPrepareDirectVariationModel). Then the output region Regionregionregion contains all points that differ substantially from the model, i.e., the points that fulfill the following condition:

\[\begin{eqnarray*} c(x,y) > t_{u}(x,y) \lor c(x,y) < t_{l}(x,y) \enspace . \end{eqnarray*}\]

If only too bright or too dark errors should be segmented the operator compare_ext_variation_modelCompareExtVariationModel can be used.

Execution information🔗

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🔗

Imageimageimage (input_object) singlechannelimage(-array) → object (byte / int2 / uint2)HObject (byte / int2 / uint2)HImage (byte / int2 / uint2)HObject (byte / int2 / uint2)Hobject (byte / int2 / uint2)

Image of the object to be compared.

Regionregionregion (output_object) region(-array) → objectHObjectHRegionHObjectHobject *

Region containing the points that differ substantially from the model.

ModelIDmodelIDmodel_id (input_control) variation_model → (handle)HTuple (HHandle)HVariationModel, HTuple (IntPtr)HHandleHtuple (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_modelCompareVariationModel returns 2 (H_MSG_TRUE) if all parameters are correct and if the internal threshold images have been generated with prepare_variation_modelPrepareVariationModel or prepare_direct_variation_modelPrepareDirectVariationModel.

Combinations with other operators🔗

Combinations

Possible predecessors

prepare_variation_modelPrepareVariationModel, prepare_direct_variation_modelPrepareDirectVariationModel

Possible successors

connectionConnection

Alternatives

compare_ext_variation_modelCompareExtVariationModel, dyn_thresholdDynThreshold

Module🔗

Matching