Name
create_scaled_shape_model_xldcreate_scaled_shape_model_xldCreateScaledShapeModelXldcreate_scaled_shape_model_xldCreateScaledShapeModelXldCreateScaledShapeModelXld — Prepare an isotropically scaled shape model for matching from XLD contours.
Herror create_scaled_shape_model_xld(const Hobject Contours, const Hlong NumLevels, double AngleStart, double AngleExtent, double AngleStep, double ScaleMin, double ScaleMax, double ScaleStep, const char* Optimization, const char* Metric, const Hlong MinContrast, Hlong* ModelID)
Herror T_create_scaled_shape_model_xld(const Hobject Contours, const Htuple NumLevels, const Htuple AngleStart, const Htuple AngleExtent, const Htuple AngleStep, const Htuple ScaleMin, const Htuple ScaleMax, const Htuple ScaleStep, const Htuple Optimization, const Htuple Metric, const Htuple MinContrast, Htuple* ModelID)
Herror create_scaled_shape_model_xld(Hobject Contours, const HTuple& NumLevels, const HTuple& AngleStart, const HTuple& AngleExtent, const HTuple& AngleStep, const HTuple& ScaleMin, const HTuple& ScaleMax, const HTuple& ScaleStep, const HTuple& Optimization, const HTuple& Metric, const HTuple& MinContrast, Hlong* ModelID)
HShapeModel HXLDCont::CreateScaledShapeModelXld(const HTuple& NumLevels, const HTuple& AngleStart, const HTuple& AngleExtent, const HTuple& AngleStep, const HTuple& ScaleMin, const HTuple& ScaleMax, const HTuple& ScaleStep, const HTuple& Optimization, const HTuple& Metric, const HTuple& MinContrast) const
HShapeModel HXLDContArray::CreateScaledShapeModelXld(const HTuple& NumLevels, const HTuple& AngleStart, const HTuple& AngleExtent, const HTuple& AngleStep, const HTuple& ScaleMin, const HTuple& ScaleMax, const HTuple& ScaleStep, const HTuple& Optimization, const HTuple& Metric, const HTuple& MinContrast) const
void HShapeModel::CreateScaledShapeModelXld(const HXLDContArray& Contours, const HTuple& NumLevels, const HTuple& AngleStart, const HTuple& AngleExtent, const HTuple& AngleStep, const HTuple& ScaleMin, const HTuple& ScaleMax, const HTuple& ScaleStep, const HTuple& Optimization, const HTuple& Metric, const HTuple& MinContrast)
void CreateScaledShapeModelXld(const HObject& Contours, const HTuple& NumLevels, const HTuple& AngleStart, const HTuple& AngleExtent, const HTuple& AngleStep, const HTuple& ScaleMin, const HTuple& ScaleMax, const HTuple& ScaleStep, const HTuple& Optimization, const HTuple& Metric, const HTuple& MinContrast, HTuple* ModelID)
void HShapeModel::HShapeModel(const HXLDCont& Contours, const HTuple& NumLevels, double AngleStart, double AngleExtent, const HTuple& AngleStep, double ScaleMin, double ScaleMax, const HTuple& ScaleStep, const HTuple& Optimization, const HString& Metric, Hlong MinContrast)
void HShapeModel::HShapeModel(const HXLDCont& Contours, Hlong NumLevels, double AngleStart, double AngleExtent, double AngleStep, double ScaleMin, double ScaleMax, double ScaleStep, const HString& Optimization, const HString& Metric, Hlong MinContrast)
void HShapeModel::HShapeModel(const HXLDCont& Contours, Hlong NumLevels, double AngleStart, double AngleExtent, double AngleStep, double ScaleMin, double ScaleMax, double ScaleStep, const char* Optimization, const char* Metric, Hlong MinContrast)
void HShapeModel::CreateScaledShapeModelXld(const HXLDCont& Contours, const HTuple& NumLevels, double AngleStart, double AngleExtent, const HTuple& AngleStep, double ScaleMin, double ScaleMax, const HTuple& ScaleStep, const HTuple& Optimization, const HString& Metric, Hlong MinContrast)
void HShapeModel::CreateScaledShapeModelXld(const HXLDCont& Contours, Hlong NumLevels, double AngleStart, double AngleExtent, double AngleStep, double ScaleMin, double ScaleMax, double ScaleStep, const HString& Optimization, const HString& Metric, Hlong MinContrast)
void HShapeModel::CreateScaledShapeModelXld(const HXLDCont& Contours, Hlong NumLevels, double AngleStart, double AngleExtent, double AngleStep, double ScaleMin, double ScaleMax, double ScaleStep, const char* Optimization, const char* Metric, Hlong MinContrast)
HShapeModel HXLDCont::CreateScaledShapeModelXld(const HTuple& NumLevels, double AngleStart, double AngleExtent, const HTuple& AngleStep, double ScaleMin, double ScaleMax, const HTuple& ScaleStep, const HTuple& Optimization, const HString& Metric, Hlong MinContrast) const
HShapeModel HXLDCont::CreateScaledShapeModelXld(Hlong NumLevels, double AngleStart, double AngleExtent, double AngleStep, double ScaleMin, double ScaleMax, double ScaleStep, const HString& Optimization, const HString& Metric, Hlong MinContrast) const
HShapeModel HXLDCont::CreateScaledShapeModelXld(Hlong NumLevels, double AngleStart, double AngleExtent, double AngleStep, double ScaleMin, double ScaleMax, double ScaleStep, const char* Optimization, const char* Metric, Hlong MinContrast) const
void HOperatorSetX.CreateScaledShapeModelXld(
[in] IHUntypedObjectX* Contours, [in] VARIANT NumLevels, [in] VARIANT AngleStart, [in] VARIANT AngleExtent, [in] VARIANT AngleStep, [in] VARIANT ScaleMin, [in] VARIANT ScaleMax, [in] VARIANT ScaleStep, [in] VARIANT Optimization, [in] VARIANT Metric, [in] VARIANT MinContrast, [out] VARIANT* ModelID)
void HShapeModelX.CreateScaledShapeModelXld(
[in] IHXLDContX* Contours, [in] VARIANT NumLevels, [in] double AngleStart, [in] double AngleExtent, [in] VARIANT AngleStep, [in] double ScaleMin, [in] double ScaleMax, [in] VARIANT ScaleStep, [in] VARIANT Optimization, [in] BSTR Metric, [in] Hlong MinContrast)
IHShapeModelX* HXLDContX.CreateScaledShapeModelXld(
[in] VARIANT NumLevels, [in] double AngleStart, [in] double AngleExtent, [in] VARIANT AngleStep, [in] double ScaleMin, [in] double ScaleMax, [in] VARIANT ScaleStep, [in] VARIANT Optimization, [in] BSTR Metric, [in] Hlong MinContrast)
static void HOperatorSet.CreateScaledShapeModelXld(HObject contours, HTuple numLevels, HTuple angleStart, HTuple angleExtent, HTuple angleStep, HTuple scaleMin, HTuple scaleMax, HTuple scaleStep, HTuple optimization, HTuple metric, HTuple minContrast, out HTuple modelID)
public HShapeModel(HXLDCont contours, HTuple numLevels, double angleStart, double angleExtent, HTuple angleStep, double scaleMin, double scaleMax, HTuple scaleStep, HTuple optimization, string metric, int minContrast)
public HShapeModel(HXLDCont contours, int numLevels, double angleStart, double angleExtent, double angleStep, double scaleMin, double scaleMax, double scaleStep, string optimization, string metric, int minContrast)
void HShapeModel.CreateScaledShapeModelXld(HXLDCont contours, HTuple numLevels, double angleStart, double angleExtent, HTuple angleStep, double scaleMin, double scaleMax, HTuple scaleStep, HTuple optimization, string metric, int minContrast)
void HShapeModel.CreateScaledShapeModelXld(HXLDCont contours, int numLevels, double angleStart, double angleExtent, double angleStep, double scaleMin, double scaleMax, double scaleStep, string optimization, string metric, int minContrast)
HShapeModel HXLDCont.CreateScaledShapeModelXld(HTuple numLevels, double angleStart, double angleExtent, HTuple angleStep, double scaleMin, double scaleMax, HTuple scaleStep, HTuple optimization, string metric, int minContrast)
HShapeModel HXLDCont.CreateScaledShapeModelXld(int numLevels, double angleStart, double angleExtent, double angleStep, double scaleMin, double scaleMax, double scaleStep, string optimization, string metric, int minContrast)
The operator create_scaled_shape_model_xldcreate_scaled_shape_model_xldCreateScaledShapeModelXldcreate_scaled_shape_model_xldCreateScaledShapeModelXldCreateScaledShapeModelXld creates an isotropically
scaled shape model used for matching from the XLD contours passed in
ContoursContoursContoursContoursContourscontours. The XLD contours represent the grayvalue edges of the
object to be searched for. In contrast to the operator
create_scaled_shape_modelcreate_scaled_shape_modelCreateScaledShapeModelcreate_scaled_shape_modelCreateScaledShapeModelCreateScaledShapeModel, which creates a shape model from a
template image, the operator create_scaled_shape_model_xldcreate_scaled_shape_model_xldCreateScaledShapeModelXldcreate_scaled_shape_model_xldCreateScaledShapeModelXldCreateScaledShapeModelXld creates
the shape model from XLD contours, i.e., without the use of a template
image.
The model is generated for multiple image pyramid levels and is
stored in memory. If a complete pregeneration of the model is
selected (see below), the model is generated at multiple rotations
and scales on each level. The output parameter ModelIDModelIDModelIDModelIDModelIDmodelID is
a handle for this model, which is used in subsequent calls to
find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel.
The number of pyramid levels is determined with the parameter
NumLevelsNumLevelsNumLevelsNumLevelsNumLevelsnumLevels. It should be chosen as large as possible because by this
the time necessary to find the object is significantly reduced. On the other
hand, NumLevelsNumLevelsNumLevelsNumLevelsNumLevelsnumLevels must be chosen such that the model is still
recognizable and contains a sufficient number of points (at least four) on
the highest pyramid level. If not enough model points are generated, the
number of pyramid levels is reduced internally until enough model points are
found on the highest pyramid level. If this procedure would lead to a model
with no pyramid levels, i.e., if the number of model points is already too
small on the lowest pyramid level, create_scaled_shape_model_xldcreate_scaled_shape_model_xldCreateScaledShapeModelXldcreate_scaled_shape_model_xldCreateScaledShapeModelXldCreateScaledShapeModelXld
returns with an error message. If NumLevelsNumLevelsNumLevelsNumLevelsNumLevelsnumLevels is set to
'auto'"auto""auto""auto""auto""auto", create_scaled_shape_model_xldcreate_scaled_shape_model_xldCreateScaledShapeModelXldcreate_scaled_shape_model_xldCreateScaledShapeModelXldCreateScaledShapeModelXld determines the number
of pyramid levels automatically. The computed number of pyramid levels can
be queried using get_shape_model_paramsget_shape_model_paramsGetShapeModelParamsget_shape_model_paramsGetShapeModelParamsGetShapeModelParams. In rare cases, it might
happen that create_scaled_shape_model_xldcreate_scaled_shape_model_xldCreateScaledShapeModelXldcreate_scaled_shape_model_xldCreateScaledShapeModelXldCreateScaledShapeModelXld determines a value for the
number of pyramid levels that is too large or too small. If the number of
pyramid levels is chosen too large, the model may not be recognized in the
image or it may be necessary to select very low parameters for MinScore or
Greediness in find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel in order to find the model. If
the number of pyramid levels is chosen too small, the time required to find
the model in find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel may increase. In these cases,
the number of pyramid levels should be selected manually.
The parameters AngleStartAngleStartAngleStartAngleStartAngleStartangleStart and AngleExtentAngleExtentAngleExtentAngleExtentAngleExtentangleExtent determine the
range of possible rotations, in which the object can occur in the image
during the search. Note that the object can only be found in this range of
angles by find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel. The parameter AngleStepAngleStepAngleStepAngleStepAngleStepangleStep
determines the step length within the selected range of angles. Hence, if
subpixel accuracy is not specified in find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel, this
parameter specifies the accuracy that is achievable for the angles in
find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel. AngleStepAngleStepAngleStepAngleStepAngleStepangleStep should be chosen based
on the size of the object. Smaller models do not have many different
discrete rotations in the image, and hence AngleStepAngleStepAngleStepAngleStepAngleStepangleStep should be
chosen larger for smaller models. If AngleExtentAngleExtentAngleExtentAngleExtentAngleExtentangleExtent is not an integer
multiple of AngleStepAngleStepAngleStepAngleStepAngleStepangleStep, AngleStepAngleStepAngleStepAngleStepAngleStepangleStep is modified accordingly.
To ensure a sampling of the range of possible rotations that is
independent of the given AngleStartAngleStartAngleStartAngleStartAngleStartangleStart, the range of possible
rotations is modified as follows: If there is no positive integer
value n such that AngleStartAngleStartAngleStartAngleStartAngleStartangleStart plus n times
AngleStepAngleStepAngleStepAngleStepAngleStepangleStep is exactly 0.0, AngleStartAngleStartAngleStartAngleStartAngleStartangleStart is decreased
by up to AngleStepAngleStepAngleStepAngleStepAngleStepangleStep and AngleExtentAngleExtentAngleExtentAngleExtentAngleExtentangleExtent is increased by
AngleStepAngleStepAngleStepAngleStepAngleStepangleStep.
The parameters ScaleMinScaleMinScaleMinScaleMinScaleMinscaleMin and ScaleMaxScaleMaxScaleMaxScaleMaxScaleMaxscaleMax determine the
range of possible scales (sizes) of the object. A scale of 1
corresponds to the original size of the model. The parameter
ScaleStepScaleStepScaleStepScaleStepScaleStepscaleStep determines the step length within the selected
range of scales. Hence, if subpixel accuracy is not specified in
find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel, this parameter specifies the
accuracy that is achievable for the scales in
find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel. Like AngleStepAngleStepAngleStepAngleStepAngleStepangleStep,
ScaleStepScaleStepScaleStepScaleStepScaleStepscaleStep should be chosen based on the size of the object.
If the range of scales is not an integer multiple of
ScaleStepScaleStepScaleStepScaleStepScaleStepscaleStep, ScaleStepScaleStepScaleStepScaleStepScaleStepscaleStep is modified accordingly.
To ensure a sampling of the range of possible scales that is
independent of the given ScaleMinScaleMinScaleMinScaleMinScaleMinscaleMin, the range of possible
scales is modified as follows: If there is no positive integer value
n such that ScaleMinScaleMinScaleMinScaleMinScaleMinscaleMin plus n times ScaleStepScaleStepScaleStepScaleStepScaleStepscaleStep is
exactly 0.0, ScaleMinScaleMinScaleMinScaleMinScaleMinscaleMin is decreased by up to
ScaleStepScaleStepScaleStepScaleStepScaleStepscaleStep and ScaleMaxScaleMaxScaleMaxScaleMaxScaleMaxscaleMax is increased such that the
range of possible scales is increased by ScaleStepScaleStepScaleStepScaleStepScaleStepscaleStep.
If a complete pregeneration of the model is selected (see below),
the model is pre-generated for the selected angle and scale range
and stored in memory. The memory required to store the model is
proportional to the number of angle steps, the number of scale
steps, and the number of points in the model. Hence, if
AngleStepAngleStepAngleStepAngleStepAngleStepangleStep or ScaleStepScaleStepScaleStepScaleStepScaleStepscaleStep are too small or
AngleExtentAngleExtentAngleExtentAngleExtentAngleExtentangleExtent or the range of scales are too big, it may
happen that the model no longer fits into the (virtual) memory. In
this case, either AngleStepAngleStepAngleStepAngleStepAngleStepangleStep or ScaleStepScaleStepScaleStepScaleStepScaleStepscaleStep must be
enlarged or AngleExtentAngleExtentAngleExtentAngleExtentAngleExtentangleExtent or the range of scales must be
reduced. In any case, it is desirable that the model completely
fits into the main memory, because this avoids paging by the
operating system, and hence the time to find the object will be much
smaller. Since angles can be determined with subpixel resolution by
find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel, AngleStepAngleStepAngleStepAngleStepAngleStepangleStep >= 1° and ScaleStepScaleStepScaleStepScaleStepScaleStepscaleStep >= 0.02 can be selected for models of a
diameter smaller than about 200 pixels. If AngleStepAngleStepAngleStepAngleStepAngleStepangleStep = 'auto'"auto""auto""auto""auto""auto" or
ScaleStepScaleStepScaleStepScaleStepScaleStepscaleStep =
'auto'"auto""auto""auto""auto""auto"
is selected, create_scaled_shape_model_xldcreate_scaled_shape_model_xldCreateScaledShapeModelXldcreate_scaled_shape_model_xldCreateScaledShapeModelXldCreateScaledShapeModelXld automatically
determines a suitable angle or scale step length, respectively,
based on the size of the model. The automatically computed angle
and scale step lengths can be queried using
get_shape_model_paramsget_shape_model_paramsGetShapeModelParamsget_shape_model_paramsGetShapeModelParamsGetShapeModelParams.
If a complete pregeneration of the model is not selected, the model
is only created in a reference pose on each pyramid level. In this
case, the model must be transformed to the different angles and
scales at runtime in find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel. Because of
this, the recognition of the model might require slightly more time.
For particularly large models, it may be useful to reduce the number
of model points by setting OptimizationOptimizationOptimizationOptimizationOptimizationoptimization to a value
different from 'none'"none""none""none""none""none". If OptimizationOptimizationOptimizationOptimizationOptimizationoptimization =
'none'"none""none""none""none""none", all model points are stored. In all other cases,
the number of points is reduced according to the value of
OptimizationOptimizationOptimizationOptimizationOptimizationoptimization. If the number of points is reduced, it may
be necessary in find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel to set the parameter
Greediness to a smaller value, e.g., 0.7 or 0.8. For small
models, the reduction of the number of model points does not result
in a speed-up of the search because in this case usually
significantly more potential instances of the model must be
examined. If OptimizationOptimizationOptimizationOptimizationOptimizationoptimization is set to 'auto'"auto""auto""auto""auto""auto",
create_scaled_shape_model_xldcreate_scaled_shape_model_xldCreateScaledShapeModelXldcreate_scaled_shape_model_xldCreateScaledShapeModelXldCreateScaledShapeModelXld automatically determines the
reduction of the number of model points.
Optionally, a second value can be passed in OptimizationOptimizationOptimizationOptimizationOptimizationoptimization.
This value determines whether the model is pregenerated completely
or not. To do so, the second value of OptimizationOptimizationOptimizationOptimizationOptimizationoptimization must be
set to either 'pregeneration'"pregeneration""pregeneration""pregeneration""pregeneration""pregeneration" or
'no_pregeneration'"no_pregeneration""no_pregeneration""no_pregeneration""no_pregeneration""no_pregeneration". If the second value is not used (i.e.,
if only one value is passed), the mode that is set with
set_system('pregenerate_shape_models',...)set_system("pregenerate_shape_models",...)SetSystem("pregenerate_shape_models",...)set_system("pregenerate_shape_models",...)SetSystem("pregenerate_shape_models",...)SetSystem("pregenerate_shape_models",...) is used. With
the default value ('pregenerate_shape_models'"pregenerate_shape_models""pregenerate_shape_models""pregenerate_shape_models""pregenerate_shape_models""pregenerate_shape_models" =
'false'"false""false""false""false""false"), the model is not pregenerated completely. The
complete pregeneration of the model normally leads to slightly lower
runtimes because the model does not need to be transformed at
runtime. However, in this case, the memory requirements and the
time required to create the model are significantly higher. It
should also be noted that it cannot be expected that the two modes
return exactly identical results because transforming the model at
runtime necessarily leads to different internal data for the
transformed models than pregenerating the transformed models. For
example, if the model is not pregenerated completely,
find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel typically returns slightly lower
scores, which may require setting a slightly lower value for
MinScore than for a completely pregenerated model. Furthermore, the
poses obtained by interpolation may differ slightly in the two
modes. If maximum accuracy is desired, the pose of the model should
be determined by least-squares adjustment.
With MinContrastMinContrastMinContrastMinContrastMinContrastminContrast, it can be determined which contrast the
object edges must at least have in the recognition performed by
find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel. In other words, this parameter
separates the object from the noise in the image. Therefore, a good
choice is the range of gray value changes caused by the noise in the
image. If, for example, the gray values fluctuate within a range of
10 gray levels, MinContrastMinContrastMinContrastMinContrastMinContrastminContrast should be set to 10. If
multichannel images are used for the model and the search images,
and if the parameter MetricMetricMetricMetricMetricmetric is set to
'ignore_color_polarity'"ignore_color_polarity""ignore_color_polarity""ignore_color_polarity""ignore_color_polarity""ignore_color_polarity" (see below) the noise in one
channel must be multiplied by the square root of the number of
channels to determine MinContrastMinContrastMinContrastMinContrastMinContrastminContrast. If, for example, the
gray values fluctuate within a range of 10 gray levels in a single
channel and the image is a three-channel image MinContrastMinContrastMinContrastMinContrastMinContrastminContrast
should be set to 17. If the model should be recognized
in very low contrast images, MinContrastMinContrastMinContrastMinContrastMinContrastminContrast must be set to a
correspondingly small value. If the model should be recognized even
if it is severely occluded, MinContrastMinContrastMinContrastMinContrastMinContrastminContrast should be slightly
larger than the range of gray value fluctuations created by noise in
order to ensure that the position and rotation of the model are
extracted robustly and accurately by
find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel.
The parameter MetricMetricMetricMetricMetricmetric determines the conditions under which
the model is recognized in the image. If MetricMetricMetricMetricMetricmetric =
'use_polarity'"use_polarity""use_polarity""use_polarity""use_polarity""use_polarity", the object in the image and the model must
have the same contrast. If, for example, the model is a bright
object on a dark background, the object is found only if it is also
brighter than the background. If MetricMetricMetricMetricMetricmetric =
'ignore_global_polarity'"ignore_global_polarity""ignore_global_polarity""ignore_global_polarity""ignore_global_polarity""ignore_global_polarity", the object is found in the image
also if the contrast reverses globally. In the above example, the
object hence is also found if it is darker than the background. The
runtime of find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel will increase slightly in
this case. If MetricMetricMetricMetricMetricmetric = 'ignore_local_polarity'"ignore_local_polarity""ignore_local_polarity""ignore_local_polarity""ignore_local_polarity""ignore_local_polarity",
the model is found even if the contrast changes locally. This mode
can, for example, be useful if the object consists of a part with
medium gray value, within which either darker or brighter
sub-objects lie. Since in this case the runtime of
find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel increases significantly, it is
usually better to create several models that reflect the possible
contrast variations of the object with
create_scaled_shape_model_xldcreate_scaled_shape_model_xldCreateScaledShapeModelXldcreate_scaled_shape_model_xldCreateScaledShapeModelXldCreateScaledShapeModelXld, and to match them simultaneously
with find_scaled_shape_modelsfind_scaled_shape_modelsFindScaledShapeModelsfind_scaled_shape_modelsFindScaledShapeModelsFindScaledShapeModels. The above three metrics can
only be applied to single-channel images. If a multichannel image
is used as the model image or as the search image only the first
channel will be used (and no error message will be returned). If
MetricMetricMetricMetricMetricmetric = 'ignore_color_polarity'"ignore_color_polarity""ignore_color_polarity""ignore_color_polarity""ignore_color_polarity""ignore_color_polarity", the model is
found even if the color contrast changes locally. This is, for
example, the case if parts of the object can change their color,
e.g., from red to green. In particular, this mode is useful if it
is not known in advance in which channels the object is visible. In
this mode, the runtime of find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel can also
increase significantly. The metric 'ignore_color_polarity'"ignore_color_polarity""ignore_color_polarity""ignore_color_polarity""ignore_color_polarity""ignore_color_polarity"
can be used for images with an arbitrary number of channels. If it
is used for single-channel images it has the same effect as
'ignore_local_polarity'"ignore_local_polarity""ignore_local_polarity""ignore_local_polarity""ignore_local_polarity""ignore_local_polarity". It should be noted that for
MetricMetricMetricMetricMetricmetric = 'ignore_color_polarity'"ignore_color_polarity""ignore_color_polarity""ignore_color_polarity""ignore_color_polarity""ignore_color_polarity" the
channels do not need to contain a spectral subdivision of the light
(like in an RGB image). The channels can, for example, also contain
images of the same object that were obtained by illuminating the
object from different directions.
Note that the first two metrics ('use_polarity'"use_polarity""use_polarity""use_polarity""use_polarity""use_polarity" and
'ignore_global_polarity'"ignore_global_polarity""ignore_global_polarity""ignore_global_polarity""ignore_global_polarity""ignore_global_polarity") can only be selected if all
ContoursContoursContoursContoursContourscontours provide the attribute 'edge_direction'"edge_direction""edge_direction""edge_direction""edge_direction""edge_direction", which
defines the polarity of the edges. This attribute is available for contours
created, e.g., with edges_sub_pixedges_sub_pixEdgesSubPixedges_sub_pixEdgesSubPixEdgesSubPix with the parameter MethodMethodMethodMethodMethodmethod
set to, e.g., 'canny'"canny""canny""canny""canny""canny". Otherwise, these two metrics can be
selected with the operator set_shape_model_metricset_shape_model_metricSetShapeModelMetricset_shape_model_metricSetShapeModelMetricSetShapeModelMetric, which determines
the polarity of the edges from an image.
The center of gravity of the smallest surrounding rectangle of the
ContoursContoursContoursContoursContourscontours is used as the origin (reference point) of the
model. A different origin can be set with
set_shape_model_originset_shape_model_originSetShapeModelOriginset_shape_model_originSetShapeModelOriginSetShapeModelOrigin.
The XLD contours passed in ContoursContoursContoursContoursContourscontours should have been scaled
to approximately the average size of the object in the search images.
This means that the product ScaleMinScaleMinScaleMinScaleMinScaleMinscaleMin times ScaleMaxScaleMaxScaleMaxScaleMaxScaleMaxscaleMax
should be approximately equal to 1.
Note that, in contrast to the operator
create_scaled_shape_modelcreate_scaled_shape_modelCreateScaledShapeModelcreate_scaled_shape_modelCreateScaledShapeModelCreateScaledShapeModel, it is not possible to specify a
minimum size of the model components. To avoid small model
components in the shape model, short contours can be eliminated
before calling create_scaled_shape_model_xldcreate_scaled_shape_model_xldCreateScaledShapeModelXldcreate_scaled_shape_model_xldCreateScaledShapeModelXldCreateScaledShapeModelXld with the
operator select_contours_xldselect_contours_xldSelectContoursXldselect_contours_xldSelectContoursXldSelectContoursXld.
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Processed without parallelization.
Input contours that will be used to create the model.
Maximum number of pyramid levels.
Default value:
'auto'
"auto"
"auto"
"auto"
"auto"
"auto"
List of values: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 'auto'"auto""auto""auto""auto""auto"
Smallest rotation of the pattern.
Default value: -0.39
Suggested values: -3.14, -1.57, -0.79, -0.39, -0.20, 0.0
Extent of the rotation angles.
Default value: 0.79
Suggested values: 6.29, 3.14, 1.57, 0.79, 0.39
Restriction: AngleExtent >= 0
Step length of the angles (resolution).
Default value:
'auto'
"auto"
"auto"
"auto"
"auto"
"auto"
Suggested values: 'auto'"auto""auto""auto""auto""auto", 0.0175, 0.0349, 0.0524, 0.0698, 0.0873
Restriction: AngleStep > 0 && AngleStep <= pi / 16
Minimum scale of the pattern.
Default value: 0.9
Suggested values: 0.5, 0.6, 0.7, 0.8, 0.9, 1.0
Restriction: ScaleMin > 0
Maximum scale of the pattern.
Default value: 1.1
Suggested values: 1.0, 1.1, 1.2, 1.3, 1.4, 1.5
Restriction: ScaleMax >= ScaleMin
Scale step length (resolution).
Default value:
'auto'
"auto"
"auto"
"auto"
"auto"
"auto"
Suggested values: 'auto'"auto""auto""auto""auto""auto", 0.01, 0.02, 0.05, 0.1, 0.15, 0.2
Restriction: ScaleStep > 0
Kind of optimization and optionally method used
for generating the model.
Default value:
'auto'
"auto"
"auto"
"auto"
"auto"
"auto"
List of values: 'auto'"auto""auto""auto""auto""auto", 'no_pregeneration'"no_pregeneration""no_pregeneration""no_pregeneration""no_pregeneration""no_pregeneration", 'none'"none""none""none""none""none", 'point_reduction_high'"point_reduction_high""point_reduction_high""point_reduction_high""point_reduction_high""point_reduction_high", 'point_reduction_low'"point_reduction_low""point_reduction_low""point_reduction_low""point_reduction_low""point_reduction_low", 'point_reduction_medium'"point_reduction_medium""point_reduction_medium""point_reduction_medium""point_reduction_medium""point_reduction_medium", 'pregeneration'"pregeneration""pregeneration""pregeneration""pregeneration""pregeneration"
Match metric.
Default value:
'ignore_local_polarity'
"ignore_local_polarity"
"ignore_local_polarity"
"ignore_local_polarity"
"ignore_local_polarity"
"ignore_local_polarity"
List of values: 'ignore_color_polarity'"ignore_color_polarity""ignore_color_polarity""ignore_color_polarity""ignore_color_polarity""ignore_color_polarity", 'ignore_global_polarity'"ignore_global_polarity""ignore_global_polarity""ignore_global_polarity""ignore_global_polarity""ignore_global_polarity", 'ignore_local_polarity'"ignore_local_polarity""ignore_local_polarity""ignore_local_polarity""ignore_local_polarity""ignore_local_polarity", 'use_polarity'"use_polarity""use_polarity""use_polarity""use_polarity""use_polarity"
Minimum contrast of the objects in the search images.
Default value: 5
Suggested values: 1, 2, 3, 5, 7, 10, 20, 30, 40
If the parameters are valid, the operator
create_scaled_shape_model_xldcreate_scaled_shape_model_xldCreateScaledShapeModelXldcreate_scaled_shape_model_xldCreateScaledShapeModelXldCreateScaledShapeModelXld returns the value 2 (H_MSG_TRUE). If necessary
an exception is raised. If the parameter NumLevelsNumLevelsNumLevelsNumLevelsNumLevelsnumLevels is chosen such
that the model contains too few points, the error 8510 is raised.
read_contour_xld_dxfread_contour_xld_dxfReadContourXldDxfread_contour_xld_dxfReadContourXldDxfReadContourXldDxf,
edges_sub_pixedges_sub_pixEdgesSubPixedges_sub_pixEdgesSubPixEdgesSubPix,
select_contours_xldselect_contours_xldSelectContoursXldselect_contours_xldSelectContoursXldSelectContoursXld
find_scaled_shape_modelfind_scaled_shape_modelFindScaledShapeModelfind_scaled_shape_modelFindScaledShapeModelFindScaledShapeModel,
find_scaled_shape_modelsfind_scaled_shape_modelsFindScaledShapeModelsfind_scaled_shape_modelsFindScaledShapeModelsFindScaledShapeModels,
get_shape_model_paramsget_shape_model_paramsGetShapeModelParamsget_shape_model_paramsGetShapeModelParamsGetShapeModelParams,
clear_shape_modelclear_shape_modelClearShapeModelclear_shape_modelClearShapeModelClearShapeModel,
write_shape_modelwrite_shape_modelWriteShapeModelwrite_shape_modelWriteShapeModelWriteShapeModel,
set_shape_model_originset_shape_model_originSetShapeModelOriginset_shape_model_originSetShapeModelOriginSetShapeModelOrigin,
set_shape_model_paramset_shape_model_paramSetShapeModelParamset_shape_model_paramSetShapeModelParamSetShapeModelParam,
set_shape_model_metricset_shape_model_metricSetShapeModelMetricset_shape_model_metricSetShapeModelMetricSetShapeModelMetric
create_shape_model_xldcreate_shape_model_xldCreateShapeModelXldcreate_shape_model_xldCreateShapeModelXldCreateShapeModelXld,
create_aniso_shape_model_xldcreate_aniso_shape_model_xldCreateAnisoShapeModelXldcreate_aniso_shape_model_xldCreateAnisoShapeModelXldCreateAnisoShapeModelXld
set_systemset_systemSetSystemset_systemSetSystemSetSystem,
get_systemget_systemGetSystemget_systemGetSystemGetSystem
Matching