Operator Reference

HALCON Operator Reference / Matching / Correlation-Based
ClassesClasses | | Operators

find_ncc_modelsT_find_ncc_modelsFindNccModelsFindNccModelsfind_ncc_models (Operator)

find_ncc_modelsT_find_ncc_modelsFindNccModelsFindNccModelsfind_ncc_models — Find the best matches of multiple NCC models.

Signature

Herror T_find_ncc_models(const Hobject Image, const Htuple ModelIDs, const Htuple AngleStart, const Htuple AngleExtent, const Htuple MinScore, const Htuple NumMatches, const Htuple MaxOverlap, const Htuple SubPixel, const Htuple NumLevels, Htuple* Row, Htuple* Column, Htuple* Angle, Htuple* Score, Htuple* Model)

void FindNccModels(const HObject& Image, const HTuple& ModelIDs, const HTuple& AngleStart, const HTuple& AngleExtent, const HTuple& MinScore, const HTuple& NumMatches, const HTuple& MaxOverlap, const HTuple& SubPixel, const HTuple& NumLevels, HTuple* Row, HTuple* Column, HTuple* Angle, HTuple* Score, HTuple* Model)

static void HNCCModel::FindNccModels(const HImage& Image, const HNCCModelArray& ModelIDs, const HTuple& AngleStart, const HTuple& AngleExtent, const HTuple& MinScore, const HTuple& NumMatches, const HTuple& MaxOverlap, const HTuple& SubPixel, const HTuple& NumLevels, HTuple* Row, HTuple* Column, HTuple* Angle, HTuple* Score, HTuple* Model)

void HNCCModel::FindNccModels(const HImage& Image, double AngleStart, double AngleExtent, double MinScore, Hlong NumMatches, double MaxOverlap, const HString& SubPixel, Hlong NumLevels, HTuple* Row, HTuple* Column, HTuple* Angle, HTuple* Score, HTuple* Model) const

void HNCCModel::FindNccModels(const HImage& Image, double AngleStart, double AngleExtent, double MinScore, Hlong NumMatches, double MaxOverlap, const char* SubPixel, Hlong NumLevels, HTuple* Row, HTuple* Column, HTuple* Angle, HTuple* Score, HTuple* Model) const

void HNCCModel::FindNccModels(const HImage& Image, double AngleStart, double AngleExtent, double MinScore, Hlong NumMatches, double MaxOverlap, const wchar_t* SubPixel, Hlong NumLevels, HTuple* Row, HTuple* Column, HTuple* Angle, HTuple* Score, HTuple* Model) const   ( Windows only)

void HImage::FindNccModels(const HNCCModelArray& ModelIDs, const HTuple& AngleStart, const HTuple& AngleExtent, const HTuple& MinScore, const HTuple& NumMatches, const HTuple& MaxOverlap, const HTuple& SubPixel, const HTuple& NumLevels, HTuple* Row, HTuple* Column, HTuple* Angle, HTuple* Score, HTuple* Model) const

void HImage::FindNccModels(const HNCCModel& ModelIDs, double AngleStart, double AngleExtent, double MinScore, Hlong NumMatches, double MaxOverlap, const HString& SubPixel, Hlong NumLevels, HTuple* Row, HTuple* Column, HTuple* Angle, HTuple* Score, HTuple* Model) const

void HImage::FindNccModels(const HNCCModel& ModelIDs, double AngleStart, double AngleExtent, double MinScore, Hlong NumMatches, double MaxOverlap, const char* SubPixel, Hlong NumLevels, HTuple* Row, HTuple* Column, HTuple* Angle, HTuple* Score, HTuple* Model) const

void HImage::FindNccModels(const HNCCModel& ModelIDs, double AngleStart, double AngleExtent, double MinScore, Hlong NumMatches, double MaxOverlap, const wchar_t* SubPixel, Hlong NumLevels, HTuple* Row, HTuple* Column, HTuple* Angle, HTuple* Score, HTuple* Model) const   ( Windows only)

static void HOperatorSet.FindNccModels(HObject image, HTuple modelIDs, HTuple angleStart, HTuple angleExtent, HTuple minScore, HTuple numMatches, HTuple maxOverlap, HTuple subPixel, HTuple numLevels, out HTuple row, out HTuple column, out HTuple angle, out HTuple score, out HTuple model)

static void HNCCModel.FindNccModels(HImage image, HNCCModel[] modelIDs, HTuple angleStart, HTuple angleExtent, HTuple minScore, HTuple numMatches, HTuple maxOverlap, HTuple subPixel, HTuple numLevels, out HTuple row, out HTuple column, out HTuple angle, out HTuple score, out HTuple model)

void HNCCModel.FindNccModels(HImage image, double angleStart, double angleExtent, double minScore, int numMatches, double maxOverlap, string subPixel, int numLevels, out HTuple row, out HTuple column, out HTuple angle, out HTuple score, out HTuple model)

void HImage.FindNccModels(HNCCModel[] modelIDs, HTuple angleStart, HTuple angleExtent, HTuple minScore, HTuple numMatches, HTuple maxOverlap, HTuple subPixel, HTuple numLevels, out HTuple row, out HTuple column, out HTuple angle, out HTuple score, out HTuple model)

void HImage.FindNccModels(HNCCModel modelIDs, double angleStart, double angleExtent, double minScore, int numMatches, double maxOverlap, string subPixel, int numLevels, out HTuple row, out HTuple column, out HTuple angle, out HTuple score, out HTuple model)

def find_ncc_models(image: HObject, model_ids: MaybeSequence[HHandle], angle_start: MaybeSequence[float], angle_extent: MaybeSequence[float], min_score: MaybeSequence[float], num_matches: MaybeSequence[int], max_overlap: MaybeSequence[float], sub_pixel: MaybeSequence[str], num_levels: MaybeSequence[int]) -> Tuple[Sequence[float], Sequence[float], Sequence[float], Sequence[float], Sequence[int]]

Description

The operator find_ncc_modelsfind_ncc_modelsFindNccModelsFindNccModelsfind_ncc_models finds the best NumMatchesNumMatchesNumMatchesnumMatchesnum_matches instances of the NCC models that are passed in the tuple ModelIDsModelIDsModelIDsmodelIDsmodel_ids in the input ImageImageImageimageimage. The models must have been created previously by calling create_ncc_modelcreate_ncc_modelCreateNccModelCreateNccModelcreate_ncc_model or read_ncc_modelread_ncc_modelReadNccModelReadNccModelread_ncc_model. In contrast to find_ncc_modelfind_ncc_modelFindNccModelFindNccModelfind_ncc_model, multiple models can be searched in the same image in one call.

If NCC finds no suitable match or the matching scores are to low, the search should be performed using a different matching method (see, e.g., “Solution Guide II-B - Matching”).

Characteristics of the parameter semantics

Compared to find_ncc_modelfind_ncc_modelFindNccModelFindNccModelfind_ncc_model, the semantics of all input parameters have changed to some extent. All input parameters must either contain one element, in which case the parameter is used for all models, or they must contain the same number of elements as ModelIDsModelIDsModelIDsmodelIDsmodel_ids, in which case each parameter element refers to the corresponding element in ModelIDsModelIDsModelIDsmodelIDsmodel_ids. (NumLevelsNumLevelsNumLevelsnumLevelsnum_levels may also contain either two or twice the number of elements as ModelIDsModelIDsModelIDsmodelIDsmodel_ids). More details can be found below in the sections containing information for the respective parameters. Note that a call to find_ncc_modelsfind_ncc_modelsFindNccModelsFindNccModelsfind_ncc_models with multiple values for ModelIDsModelIDsModelIDsmodelIDsmodel_ids, NumMatchesNumMatchesNumMatchesnumMatchesnum_matches and MaxOverlapMaxOverlapMaxOverlapmaxOverlapmax_overlap has the same effect as multiple independent calls to find_ncc_modelfind_ncc_modelFindNccModelFindNccModelfind_ncc_model with the respective parameters. However, a single call to find_ncc_modelsfind_ncc_modelsFindNccModelsFindNccModelsfind_ncc_models is considerably more efficient.

Input parameters in detail

ImageImageImageimageimage and its domain:

The domain of the image ImageImageImageimageimage determines the search space for the reference point of the model, i.e., for the center of gravity of the domain (region) of the image that was used to create the NCC model with create_ncc_modelcreate_ncc_modelCreateNccModelCreateNccModelcreate_ncc_model. A different origin set with set_ncc_model_originset_ncc_model_originSetNccModelOriginSetNccModelOriginset_ncc_model_origin is not taken into account. The model has to lie completely within the image. This means that the model will not be found if it extends beyond the borders of the image, even if it would achieve a score greater than MinScoreMinScoreMinScoreminScoremin_score (see below). Note that rounding effects can cause matches to lie up to pixels outside the image.

The input ImageImageImageimageimage can contain a single image object or an image object array containing multiple image objects. If ImageImageImageimageimage contains a single image object, its domain is used as the region of interest for all models in ModelIDsModelIDsModelIDsmodelIDsmodel_ids. If ImageImageImageimageimage contains multiple image objects, each domain is used as the region of interest for the corresponding model in ModelIDsModelIDsModelIDsmodelIDsmodel_ids. In this case, the images have to be identical except for their domains, i.e., ImageImageImageimageimage cannot be constructed in an arbitrary manner using concat_objconcat_objConcatObjConcatObjconcat_obj, but must be created from the same image using add_channelsadd_channelsAddChannelsAddChannelsadd_channels or equivalent calls. If this is not the case, an error message is returned.

AngleStartAngleStartAngleStartangleStartangle_start and AngleExtentAngleExtentAngleExtentangleExtentangle_extent:

The parameters AngleStartAngleStartAngleStartangleStartangle_start and AngleExtentAngleExtentAngleExtentangleExtentangle_extent determine the range of rotations for which the model is searched. If necessary, the range of rotations is clipped to the range given when the model was created with create_ncc_modelcreate_ncc_modelCreateNccModelCreateNccModelcreate_ncc_model.

Furthermore, it should be noted that in some cases instances with a rotation that is slightly outside the specified range of rotations are found. This may happen if the specified range of rotations is smaller than the range given when the model was created.

MinScoreMinScoreMinScoreminScoremin_score:

The parameter MinScoreMinScoreMinScoreminScoremin_score determines what score a potential match must at least have to be regarded as an instance of the model in the image. The larger MinScoreMinScoreMinScoreminScoremin_score is chosen, the faster the search is. If the model can be expected never to be occluded in the images, MinScoreMinScoreMinScoreminScoremin_score may be set as high as 0.8 or even 0.9. If the matches are not tracked to the lowest pyramid level (see NumLevelsNumLevelsNumLevelsnumLevelsnum_levels), it might happen that instances with a score slightly below MinScoreMinScoreMinScoreminScoremin_score are found.

NumMatchesNumMatchesNumMatchesnumMatchesnum_matches:

The maximum number of instances to be found can be determined with NumMatchesNumMatchesNumMatchesnumMatchesnum_matches. If more than NumMatchesNumMatchesNumMatchesnumMatchesnum_matches instances with a score greater than MinScoreMinScoreMinScoreminScoremin_score are found in the image, only the best NumMatchesNumMatchesNumMatchesnumMatchesnum_matches instances are returned. If fewer than NumMatchesNumMatchesNumMatchesnumMatchesnum_matches are found, only that number is returned, i.e., the parameter MinScoreMinScoreMinScoreminScoremin_score takes precedence over NumMatchesNumMatchesNumMatchesnumMatchesnum_matches. If all model instances exceeding MinScoreMinScoreMinScoreminScoremin_score in the image should be found, NumMatchesNumMatchesNumMatchesnumMatchesnum_matches must be set to 0.

If NumMatchesNumMatchesNumMatchesnumMatchesnum_matches contains one element, find_ncc_modelsfind_ncc_modelsFindNccModelsFindNccModelsfind_ncc_models returns the best NumMatchesNumMatchesNumMatchesnumMatchesnum_matches instances of the model irrespective of the type of the model. If, for example, two models are passed in ModelIDsModelIDsModelIDsmodelIDsmodel_ids and NumMatchesNumMatchesNumMatchesnumMatchesnum_matches = 2 is selected, it can happen that two instances of the first model and no instances of the second model, one instance of the first model and one instance of the second model, or no instances of the first model and two instances of the second model are returned. If, on the other hand, NumMatchesNumMatchesNumMatchesnumMatchesnum_matches contains multiple values, the number of instances returned of the different models corresponds to the number specified in the respective entry in NumMatchesNumMatchesNumMatchesnumMatchesnum_matches. If, for example, NumMatchesNumMatchesNumMatchesnumMatchesnum_matches = [1,1] is selected, one instance of the first model and one instance of the second model is returned.

MaxOverlapMaxOverlapMaxOverlapmaxOverlapmax_overlap:

If the model exhibits symmetries it may happen that multiple instances with similar positions but different rotations are found in the image. The parameter MaxOverlapMaxOverlapMaxOverlapmaxOverlapmax_overlap determines by what fraction (i.e., a number between 0 and 1) two instances may at most overlap in order to consider them as different instances, and hence to be returned separately. If two instances overlap each other by more than MaxOverlapMaxOverlapMaxOverlapmaxOverlapmax_overlap, only the best instance is returned. The calculation of the overlap is based on the smallest enclosing rectangle of arbitrary orientation (see smallest_rectangle2smallest_rectangle2SmallestRectangle2SmallestRectangle2smallest_rectangle2) of the found instances. If MaxOverlapMaxOverlapMaxOverlapmaxOverlapmax_overlap=0, the found instances may not overlap at all, while for MaxOverlapMaxOverlapMaxOverlapmaxOverlapmax_overlap=1 all instances are returned.

If a single value is passed in MaxOverlapMaxOverlapMaxOverlapmaxOverlapmax_overlap, the overlap is computed for all found instances of the different models, irrespective of the model type, i.e., instances of the same or of different models that overlap too much are eliminated. If, on the other hand, multiple values are passed in MaxOverlapMaxOverlapMaxOverlapmaxOverlapmax_overlap, the overlap is only computed for found instances of the model that have the same model type, i.e., only instances of the same model that overlap too much are eliminated. In this mode, models of different types may overlap completely.

SubPixelSubPixelSubPixelsubPixelsub_pixel:

The parameter SubPixelSubPixelSubPixelsubPixelsub_pixel determines whether the instances should be extracted with subpixel accuracy. If SubPixelSubPixelSubPixelsubPixelsub_pixel is set to 'false'"false""false""false""false" the model's pose is only determined with pixel accuracy and the angle resolution that was specified with create_ncc_modelcreate_ncc_modelCreateNccModelCreateNccModelcreate_ncc_model. If SubPixelSubPixelSubPixelsubPixelsub_pixel is set to 'true'"true""true""true""true", the position as well as the rotation are determined with subpixel accuracy. In this mode, the model's pose is interpolated from the score function.

NumLevelsNumLevelsNumLevelsnumLevelsnum_levels:

The number of pyramid levels used during the search is determined with NumLevelsNumLevelsNumLevelsnumLevelsnum_levels. If necessary, the number of levels is clipped to the range given when the NCC model was created with create_ncc_modelcreate_ncc_modelCreateNccModelCreateNccModelcreate_ncc_model. If NumLevelsNumLevelsNumLevelsnumLevelsnum_levels is set to 0, the number of pyramid levels specified in create_ncc_modelcreate_ncc_modelCreateNccModelCreateNccModelcreate_ncc_model is used.

In certain cases, the number of pyramid levels that was determined automatically with, for example, create_ncc_modelcreate_ncc_modelCreateNccModelCreateNccModelcreate_ncc_model may be too high. The consequence may be that some matches that may have a high final score are rejected on the highest pyramid level and thus are not found. Instead of setting MinScoreMinScoreMinScoreminScoremin_score to a very low value to find all matches, it may be better to query the value of NumLevelsNumLevelsNumLevelsnumLevelsnum_levels with get_ncc_model_paramsget_ncc_model_paramsGetNccModelParamsGetNccModelParamsget_ncc_model_params and then use a slightly lower value in find_ncc_modelsfind_ncc_modelsFindNccModelsFindNccModelsfind_ncc_models. This approach is often better regarding the speed and robustness of the matching.

Optionally, NumLevelsNumLevelsNumLevelsnumLevelsnum_levels can contain a second value that determines the lowest pyramid level to which the found matches are tracked. Hence, a value of [4,2] for NumLevelsNumLevelsNumLevelsnumLevelsnum_levels means that the matching starts at the fourth pyramid level and tracks the matches to the second lowest pyramid level (the lowest pyramid level is denoted by a value of 1). This mechanism can be used to decrease the runtime of the matching. It should be noted, however, that in general the accuracy of the extracted pose parameters is lower in this mode than in the normal mode, in which the matches are tracked to the lowest pyramid level. If the lowest pyramid level to use is chosen too large, it may happen that the desired accuracy cannot be achieved, or that wrong instances of the model are found because the model is not specific enough on the higher pyramid levels to facilitate a reliable selection of the correct instance of the model. In this case, the lowest pyramid level to use must be set to a smaller value.

If the lowest pyramid level is specified separately for each model, NumLevelsNumLevelsNumLevelsnumLevelsnum_levels must contain twice the number of elements as ModelIDsModelIDsModelIDsmodelIDsmodel_ids. In this case, the number of pyramid levels and the lowest pyramid level must be specified interleaved in NumLevelsNumLevelsNumLevelsnumLevelsnum_levels. If, for example, two models are specified in ModelIDsModelIDsModelIDsmodelIDsmodel_ids, the number of pyramid levels is 5 for the first model and 4 for the second model, and the lowest pyramid level is 2 for the first model and 1 for the second model, NumLevelsNumLevelsNumLevelsnumLevelsnum_levels = [5,2,4,1] must be selected. If exactly two models are specified in ModelIDsModelIDsModelIDsmodelIDsmodel_ids, a special case occurs. If in this case the lowest pyramid level is to be specified, the number of pyramid levels and the lowest pyramid level must be specified explicitly for both models, even if they are identical, because specifying two values in NumLevelsNumLevelsNumLevelsnumLevelsnum_levels is interpreted as the explicit specification of the number of pyramid levels for the two models.

Output parameters in detail

RowRowRowrowrow, ColumnColumnColumncolumncolumn and AngleAngleAngleangleangle:

The position and rotation of the found instances of the model is returned in RowRowRowrowrow, ColumnColumnColumncolumncolumn, and AngleAngleAngleangleangle. The coordinates RowRowRowrowrow and ColumnColumnColumncolumncolumn are the coordinates of the origin of the NCC model in the search image. By default, the origin is the center of gravity of the domain (region) of the image that was used to create the NCC model with create_ncc_modelcreate_ncc_modelCreateNccModelCreateNccModelcreate_ncc_model. A different origin can be set with set_ncc_model_originset_ncc_model_originSetNccModelOriginSetNccModelOriginset_ncc_model_origin.

Note that the coordinates RowRowRowrowrow and ColumnColumnColumncolumncolumn do not exactly correspond to the position of the model in the search image. Thus, you cannot directly use them. Instead, the values are optimized for creating the transformation matrix with which you can use the results of the matching for various tasks, e.g., to align ROIs for other processing steps. The example given for find_ncc_modelfind_ncc_modelFindNccModelFindNccModelfind_ncc_model shows how to create this matrix and use it to display the model at the found position in the search image and to calculate the exact coordinates.

Note also that for visualizing the model at the found position, also the procedure dev_display_ncc_matching_results can be used.

ScoreScoreScorescorescore:

Additionally, the score of each found instance is returned in ScoreScoreScorescorescore.

ModelModelModelmodelmodel:

The type of the found instances of the models is returned in ModelModelModelmodelmodel. The elements of ModelModelModelmodelmodel are indices into the tuple ModelIDsModelIDsModelIDsmodelIDsmodel_ids, i.e., they can contain values from 0 to |ModelIDsModelIDsModelIDsmodelIDsmodel_ids|-1. Hence, a value of 0 in an element of ModelModelModelmodelmodel corresponds to an instance of the first model in ModelIDsModelIDsModelIDsmodelIDsmodel_ids.

Specifying a timeout

Using the operator set_ncc_model_paramset_ncc_model_paramSetNccModelParamSetNccModelParamset_ncc_model_param you can specify a 'timeout'"timeout""timeout""timeout""timeout" for find_ncc_modelsfind_ncc_modelsFindNccModelsFindNccModelsfind_ncc_models. If the NCC models referenced by ModelIDsModelIDsModelIDsmodelIDsmodel_ids hold different values for 'timeout'"timeout""timeout""timeout""timeout", find_ncc_modelsfind_ncc_modelsFindNccModelsFindNccModelsfind_ncc_models uses the smallest one. If find_ncc_modelsfind_ncc_modelsFindNccModelsFindNccModelsfind_ncc_models reaches this 'timeout'"timeout""timeout""timeout""timeout", it terminates without results and returns the error code 9400 (H_ERR_TIMEOUT).

Visualization of the results

To display the results found by correlation-based matching, we highly recommend the usage of the procedure dev_display_ncc_matching_results.

Further Information

For an explanation of the different 2D coordinate systems used in HALCON, see the introduction of chapter Transformations / 2D Transformations.

Attention

Note that the internally used memory increases with the number of used threads.

Execution Information

  • Supports OpenCL compute devices.
  • Multithreading type: reentrant (runs in parallel with non-exclusive operators).
  • Multithreading scope: global (may be called from any thread).
  • Automatically parallelized on internal data level.

Parameters

ImageImageImageimageimage (input_object)  (multichannel-)image(-array) → objectHImageHObjectHObjectHobject (byte* / uint2*) *allowed for compute devices

Input image in which the model should be found.

ModelIDsModelIDsModelIDsmodelIDsmodel_ids (input_control)  ncc_model(-array) → HNCCModel, HTupleMaybeSequence[HHandle]HTupleHtuple (handle) (IntPtr) (HHandle) (handle)

Handle of the models.

AngleStartAngleStartAngleStartangleStartangle_start (input_control)  angle.rad(-array) → HTupleMaybeSequence[float]HTupleHtuple (real) (double) (double) (double)

Smallest rotation of the models.

Default: -0.39

Suggested values: -3.14, -1.57, -0.79, -0.39, -0.20, 0.0

AngleExtentAngleExtentAngleExtentangleExtentangle_extent (input_control)  angle.rad(-array) → HTupleMaybeSequence[float]HTupleHtuple (real) (double) (double) (double)

Extent of the rotation angles.

Default: 0.79

Suggested values: 6.29, 3.14, 1.57, 0.79, 0.39, 0.0

Restriction: AngleExtent >= 0

MinScoreMinScoreMinScoreminScoremin_score (input_control)  real(-array) → HTupleMaybeSequence[float]HTupleHtuple (real) (double) (double) (double)

Minimum score of the instances of the models to be found.

Default: 0.8

Suggested values: 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0

Value range: 0 ≤ MinScore MinScore MinScore minScore min_score ≤ 1

Minimum increment: 0.01

Recommended increment: 0.05

NumMatchesNumMatchesNumMatchesnumMatchesnum_matches (input_control)  integer(-array) → HTupleMaybeSequence[int]HTupleHtuple (integer) (int / long) (Hlong) (Hlong)

Number of instances of the models to be found (or 0 for all matches).

Default: 1

Suggested values: 0, 1, 2, 3, 4, 5, 10, 20

MaxOverlapMaxOverlapMaxOverlapmaxOverlapmax_overlap (input_control)  real(-array) → HTupleMaybeSequence[float]HTupleHtuple (real) (double) (double) (double)

Maximum overlap of the instances of the models to be found.

Default: 0.5

Suggested values: 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0

Value range: 0 ≤ MaxOverlap MaxOverlap MaxOverlap maxOverlap max_overlap ≤ 1

Minimum increment: 0.01

Recommended increment: 0.05

SubPixelSubPixelSubPixelsubPixelsub_pixel (input_control)  string(-array) → HTupleMaybeSequence[str]HTupleHtuple (string) (string) (HString) (char*)

Subpixel accuracy if not equal to 'none'"none""none""none""none".

Default: 'true' "true" "true" "true" "true"

List of values: 'false'"false""false""false""false", 'true'"true""true""true""true"

NumLevelsNumLevelsNumLevelsnumLevelsnum_levels (input_control)  integer(-array) → HTupleMaybeSequence[int]HTupleHtuple (integer) (int / long) (Hlong) (Hlong)

Number of pyramid levels used in the matching (and lowest pyramid level to use if |NumLevelsNumLevelsNumLevelsnumLevelsnum_levels| = 2).

Default: 0

List of values: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10

RowRowRowrowrow (output_control)  point.y-array → HTupleSequence[float]HTupleHtuple (real) (double) (double) (double)

Row coordinate of the found instances of the models.

ColumnColumnColumncolumncolumn (output_control)  point.x-array → HTupleSequence[float]HTupleHtuple (real) (double) (double) (double)

Column coordinate of the found instances of the models.

AngleAngleAngleangleangle (output_control)  angle.rad-array → HTupleSequence[float]HTupleHtuple (real) (double) (double) (double)

Rotation angle of the found instances of the models.

ScoreScoreScorescorescore (output_control)  real-array → HTupleSequence[float]HTupleHtuple (real) (double) (double) (double)

Score of the found instances of the models.

ModelModelModelmodelmodel (output_control)  integer-array → HTupleSequence[int]HTupleHtuple (integer) (int / long) (Hlong) (Hlong)

Index of the found instances of the models.

Example (HDevelop)

read_image (Image, 'pcb_focus/pcb_focus_telecentric_061')
gen_rectangle1 (ROI_0, 236, 241, 313, 321)
gen_circle (ROI_1, 281, 653, 41)
reduce_domain (Image, ROI_0, ImageReduced1)
reduce_domain (Image, ROI_1, ImageReduced2)
create_ncc_model (ImageReduced1, 'auto', rad(-45), rad(90), 'auto', \
                  'use_polarity', ModelID1)
create_ncc_model (ImageReduced2, 'auto', rad(-45), rad(90), 'auto', \
                  'use_polarity', ModelID2)
ModelIDs:=[ModelID1, ModelID2]
find_ncc_models (Image, ModelIDs, rad(-45), rad(90), 0.7, [1,1], 0.5, \
                 'true', 0, Row, Column, Angle, Score, Model)
dev_display_ncc_matching_results (ModelIDs, 'red', Row, Column, \
                                  Angle, Model)

Result

If the parameter values are correct, the operator find_ncc_modelsfind_ncc_modelsFindNccModelsFindNccModelsfind_ncc_models returns the value 2 ( H_MSG_TRUE) . If the input is empty (no input images are available) the behavior can be set via set_system('no_object_result',<Result>)set_system("no_object_result",<Result>)SetSystem("no_object_result",<Result>)SetSystem("no_object_result",<Result>)set_system("no_object_result",<Result>). If necessary, an exception is raised.

Possible Predecessors

create_ncc_modelcreate_ncc_modelCreateNccModelCreateNccModelcreate_ncc_model, read_ncc_modelread_ncc_modelReadNccModelReadNccModelread_ncc_model, set_ncc_model_originset_ncc_model_originSetNccModelOriginSetNccModelOriginset_ncc_model_origin

Possible Successors

clear_ncc_modelclear_ncc_modelClearNccModelClearNccModelclear_ncc_model

Alternatives

find_generic_shape_modelfind_generic_shape_modelFindGenericShapeModelFindGenericShapeModelfind_generic_shape_model

Module

Matching

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