Name
do_ocv_simpledo_ocv_simpleDoOcvSimpleDoOcvSimple — Verification of a pattern using an OCV tool.
Herror do_ocv_simple(const Hobject Pattern, const Hlong OCVHandle, const char* PatternName, const char* AdaptPos, const char* AdaptSize, const char* AdaptAngle, const char* AdaptGray, double Threshold, double* Quality)
Herror T_do_ocv_simple(const Hobject Pattern, const Htuple OCVHandle, const Htuple PatternName, const Htuple AdaptPos, const Htuple AdaptSize, const Htuple AdaptAngle, const Htuple AdaptGray, const Htuple Threshold, Htuple* Quality)
void DoOcvSimple(const HObject& Pattern, const HTuple& OCVHandle, const HTuple& PatternName, const HTuple& AdaptPos, const HTuple& AdaptSize, const HTuple& AdaptAngle, const HTuple& AdaptGray, const HTuple& Threshold, HTuple* Quality)
HTuple HImage::DoOcvSimple(const HOCV& OCVHandle, const HTuple& PatternName, const HString& AdaptPos, const HString& AdaptSize, const HString& AdaptAngle, const HString& AdaptGray, double Threshold) const
double HImage::DoOcvSimple(const HOCV& OCVHandle, const HString& PatternName, const HString& AdaptPos, const HString& AdaptSize, const HString& AdaptAngle, const HString& AdaptGray, double Threshold) const
double HImage::DoOcvSimple(const HOCV& OCVHandle, const char* PatternName, const char* AdaptPos, const char* AdaptSize, const char* AdaptAngle, const char* AdaptGray, double Threshold) const
HTuple HOCV::DoOcvSimple(const HImage& Pattern, const HTuple& PatternName, const HString& AdaptPos, const HString& AdaptSize, const HString& AdaptAngle, const HString& AdaptGray, double Threshold) const
double HOCV::DoOcvSimple(const HImage& Pattern, const HString& PatternName, const HString& AdaptPos, const HString& AdaptSize, const HString& AdaptAngle, const HString& AdaptGray, double Threshold) const
double HOCV::DoOcvSimple(const HImage& Pattern, const char* PatternName, const char* AdaptPos, const char* AdaptSize, const char* AdaptAngle, const char* AdaptGray, double Threshold) const
static void HOperatorSet.DoOcvSimple(HObject pattern, HTuple OCVHandle, HTuple patternName, HTuple adaptPos, HTuple adaptSize, HTuple adaptAngle, HTuple adaptGray, HTuple threshold, out HTuple quality)
HTuple HImage.DoOcvSimple(HOCV OCVHandle, HTuple patternName, string adaptPos, string adaptSize, string adaptAngle, string adaptGray, double threshold)
double HImage.DoOcvSimple(HOCV OCVHandle, string patternName, string adaptPos, string adaptSize, string adaptAngle, string adaptGray, double threshold)
HTuple HOCV.DoOcvSimple(HImage pattern, HTuple patternName, string adaptPos, string adaptSize, string adaptAngle, string adaptGray, double threshold)
double HOCV.DoOcvSimple(HImage pattern, string patternName, string adaptPos, string adaptSize, string adaptAngle, string adaptGray, double threshold)
do_ocv_simpledo_ocv_simpleDoOcvSimpleDoOcvSimpleDoOcvSimple evaluates the pattern in (PatternPatternPatternPatternpattern).
Before the evaluation the good-pattern has to be trained by using
the operator traind_ocv_projtraind_ocv_projTraindOcvProjTraindOcvProjTraindOcvProj. Both patterns should
have roughly the same (relative) extent and shape.
To specify which of the trained patterns is used as reference its
name is specified in PatternNamePatternNamePatternNamePatternNamepatternName.
The next four parameters influence the automatic adaption:
AdaptPosAdaptPosAdaptPosAdaptPosadaptPos and AdaptSizeAdaptSizeAdaptSizeAdaptSizeadaptSize refer to the geometry
of the pattern. AdaptPosAdaptPosAdaptPosAdaptPosadaptPos specifies whether a shift of the
position will be adapted automatically. AdaptSizeAdaptSizeAdaptSizeAdaptSizeadaptSize
is used to adapt to changes in the size of the pattern.
AdaptAngleAdaptAngleAdaptAngleAdaptAngleadaptAngle is not implemented.
The parameter AdaptGrayAdaptGrayAdaptGrayAdaptGrayadaptGray controls the adaption to changes of
the grayvalues. This comprises additive and multiplicative changes
of the intensity.
The parameter ThresholdThresholdThresholdThresholdthreshold specifies the minimum difference of the
gray values to be treated as an error. In this case the
percentage of wrong pixels is returned. If the value is below 0
the sum of all errors normalized with respect to the size is returned.
The result of the operator is the QualityQualityQualityQualityquality of the pattern
with a value between 0 and 1. The value 1 corresponds to a pattern
with no faults. The value 0 corresponds to a very big fault.
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Processed without parallelization.
Characters to be verified.
Name of the character.
Default value:
'a'
"a"
"a"
"a"
"a"
Adaption to vertical and horizontal translation.
Default value:
'true'
"true"
"true"
"true"
"true"
List of values: 'false'"false""false""false""false", 'true'"true""true""true""true"
Adaption to vertical and horizontal scaling of
the size.
Default value:
'true'
"true"
"true"
"true"
"true"
List of values: 'false'"false""false""false""false", 'true'"true""true""true""true"
Adaption to changes of the orientation
(not implemented).
Default value:
'false'
"false"
"false"
"false"
"false"
List of values: 'false'"false""false""false""false"
Adaption to additive and scaling gray value changes.
Default value:
'true'
"true"
"true"
"true"
"true"
List of values: 'false'"false""false""false""false", 'true'"true""true""true""true"
Minimum difference between objects.
Default value: 10
Suggested values: -1.0, 0.0, 1.0, 5.0, 10.0, 15.0, 20.0, 30.0, 40.0, 50.0, 60.0, 80.0, 100.0, 150.0
Evaluation of the character.
Typical range of values: 0.0
≤
Quality
Quality
Quality
Quality
quality
≤
1.0
do_ocv_simpledo_ocv_simpleDoOcvSimpleDoOcvSimpleDoOcvSimple returns 2 (H_MSG_TRUE), if
the handle and the characters are correct.
Otherwise, an exception is raised.
traind_ocr_class_boxtraind_ocr_class_boxTraindOcrClassBoxTraindOcrClassBoxTraindOcrClassBox,
trainf_ocr_class_boxtrainf_ocr_class_boxTrainfOcrClassBoxTrainfOcrClassBoxTrainfOcrClassBox,
read_ocvread_ocvReadOcvReadOcvReadOcv,
thresholdthresholdThresholdThresholdThreshold,
connectionconnectionConnectionConnectionConnection,
select_shapeselect_shapeSelectShapeSelectShapeSelectShape
close_ocvclose_ocvCloseOcvCloseOcvCloseOcv
create_ocv_projcreate_ocv_projCreateOcvProjCreateOcvProjCreateOcvProj
OCR/OCV