eVision.EOCVChar Class Reference

Holds all information related to a single character, such as nominal and average position, reference quality indicators,... During the learning phases, it also keeps the list of its constituent blobs. More...

Public Member Functions
None	__init__ (self)
	Constructs an OCVChar context.
None	__init__ (self, eVision.EOCVChar other)
	Constructs an OCVChar context.
None	ResetParameters (self)
	Sets all character parameters to the undefined value for use before a eVision.EOCV.SetTextCharParameters or eVision.EOCV.ScatterTextsCharsParameters operation.
bool	WhiteOnBlack (self)
	Character contrast: true for light characters on a dark background.
	WhiteOnBlack (self, bool value)
	Character contrast: true for light characters on a dark background.
int	Selected (self)
	Selection state: TRUE when selected.
	Selected (self, int value)
	Selection state: TRUE when selected.
int	NumContourPoints (self)
	Number of contour points of this character used for location.
	NumContourPoints (self, int value)
	Number of contour points of this character used for location.
float	TemplateLocationScore (self)
	Value of the location score measured on the template during learning.
	TemplateLocationScore (self, float value)
	Value of the location score measured on the template during learning.
float	SampleLocationScore (self)
	Value of the location score measured on the sample during inspection.
	SampleLocationScore (self, float value)
	Value of the location score measured on the sample during inspection.
float	LocationScoreTolerance (self)
	Allowed absolute difference between the template and sample scores.
	LocationScoreTolerance (self, float value)
	Allowed absolute difference between the template and sample scores.
float	ShiftX (self)
	Measured horizontal translation.
	ShiftX (self, float value)
	Measured horizontal translation.
float	ShiftXBias (self)
	Horizontal translation bias.
	ShiftXBias (self, float value)
	Horizontal translation bias.
float	ShiftXTolerance (self)
	Horizontal translation tolerance.
	ShiftXTolerance (self, float value)
	Horizontal translation tolerance.
int	ShiftXStride (self)
	First pass stride for the horizontal translation.
	ShiftXStride (self, int value)
	First pass stride for the horizontal translation.
float	ShiftY (self)
	Measured vertical translation.
	ShiftY (self, float value)
	Measured vertical translation.
float	ShiftYBias (self)
	Vertical translation bias.
	ShiftYBias (self, float value)
	Vertical translation bias.
float	ShiftYTolerance (self)
	Vertical translation tolerance.
	ShiftYTolerance (self, float value)
	Vertical translation tolerance.
int	ShiftYStride (self)
	First pass stride for the vertical translation.
	ShiftYStride (self, int value)
	First pass stride for the vertical translation.
int	Diagnostics (self)
	Logical combination (bitwise OR) of defects.
	Diagnostics (self, int value)
	Logical combination (bitwise OR) of defects.
int	MarginWidth (self)
	Width of the extra space to be used around the characters bounding box (on all four sides) when computing a quality indicator.
	MarginWidth (self, int value)
	Width of the extra space to be used around the characters bounding box (on all four sides) when computing a quality indicator.
int	TemplateForegroundArea (self)
	Number of pixels in the template foreground of this character.
	TemplateForegroundArea (self, int value)
	Number of pixels in the template foreground of this character.
int	SampleForegroundArea (self)
	Number of foreground pixels of this character corresponding to a foreground pixel of the template character.
	SampleForegroundArea (self, int value)
	Number of foreground pixels of this character corresponding to a foreground pixel of the template character.
int	ForegroundAreaTolerance (self)
	Maximum allowed difference between the sample and template foreground areas.
	ForegroundAreaTolerance (self, int value)
	Maximum allowed difference between the sample and template foreground areas.
int	TemplateBackgroundArea (self)
	Number of pixels in the background of this character.
	TemplateBackgroundArea (self, int value)
	Number of pixels in the background of this character.
int	SampleBackgroundArea (self)
	Number of background pixels of this character corresponding to a background pixel of the template character.
	SampleBackgroundArea (self, int value)
	Number of background pixels of this character corresponding to a background pixel of the template character.
int	BackgroundAreaTolerance (self)
	Maximum allowed difference between the sample and template background areas.
	BackgroundAreaTolerance (self, int value)
	Maximum allowed difference between the sample and template background areas.
float	TemplateForegroundSum (self)
	Sum of the normalized gray-level values of the foreground pixels of this character.
	TemplateForegroundSum (self, float value)
	Sum of the normalized gray-level values of the foreground pixels of this character.
float	SampleForegroundSum (self)
	Sum of the normalized gray-level values of the pixels of this character corresponding to a foreground pixel of the template character.
	SampleForegroundSum (self, float value)
	Sum of the normalized gray-level values of the pixels of this character corresponding to a foreground pixel of the template character.
float	ForegroundSumTolerance (self)
	Maximum allowed difference between the sample and template foreground sums.
	ForegroundSumTolerance (self, float value)
	Maximum allowed difference between the sample and template foreground sums.
float	TemplateBackgroundSum (self)
	Sum of the normalized gray-level values of the background pixels of this character.
	TemplateBackgroundSum (self, float value)
	Sum of the normalized gray-level values of the background pixels of this character.
float	SampleBackgroundSum (self)
	Sum of the normalized gray-level values of the pixels of this character corresponding to a background pixel of the template character.
	SampleBackgroundSum (self, float value)
	Sum of the normalized gray-level values of the pixels of this character corresponding to a background pixel of the template character.
float	BackgroundSumTolerance (self)
	Maximum allowed difference between the sample and template background sums.
	BackgroundSumTolerance (self, float value)
	Maximum allowed difference between the sample and template background sums.
float	Correlation (self)
	Normalized correlation involving the template and sample character images.
	Correlation (self, float value)
	Normalized correlation involving the template and sample character images.
float	CorrelationTolerance (self)
	Maximum allowed difference between the normalized correlation and unity.
	CorrelationTolerance (self, float value)
	Maximum allowed difference between the normalized correlation and unity.
float	LocationScoreAverage (self)
	Location score average.
	LocationScoreAverage (self, float value)
	Location score average.
float	LocationScoreDeviation (self)
	Location score standard deviation.
	LocationScoreDeviation (self, float value)
	Location score standard deviation.
float	ShiftXAverage (self)
	Shift X average.
	ShiftXAverage (self, float value)
	Shift X average.
float	ShiftXDeviation (self)
	Shift X standard deviation.
	ShiftXDeviation (self, float value)
	Shift X standard deviation.
float	ShiftXMin (self)
	Minimum Shift X.
	ShiftXMin (self, float value)
	Minimum Shift X.
float	ShiftXMax (self)
	Maximum Shift X.
	ShiftXMax (self, float value)
	Maximum Shift X.
float	ShiftYAverage (self)
	Shift Y average.
	ShiftYAverage (self, float value)
	Shift Y average.
float	ShiftYDeviation (self)
	Shift Y standard deviation.
	ShiftYDeviation (self, float value)
	Shift Y standard deviation.
float	ShiftYMin (self)
	Minimum Shift Y.
	ShiftYMin (self, float value)
	Minimum Shift Y.
float	ShiftYMax (self)
	Maximum Shift Y.
	ShiftYMax (self, float value)
	Maximum Shift Y.
float	ForegroundAreaAverage (self)
	Foreground area average.
	ForegroundAreaAverage (self, float value)
	Foreground area average.
float	ForegroundAreaDeviation (self)
	Foreground area standard deviation.
	ForegroundAreaDeviation (self, float value)
	Foreground area standard deviation.
float	BackgroundAreaAverage (self)
	Background area average.
	BackgroundAreaAverage (self, float value)
	Background area average.
float	BackgroundAreaDeviation (self)
	Background area standard deviation.
	BackgroundAreaDeviation (self, float value)
	Background area standard deviation.
float	ForegroundSumAverage (self)
	Foreground sum average.
	ForegroundSumAverage (self, float value)
	Foreground sum average.
float	ForegroundSumDeviation (self)
	Foreground sum standard deviation.
	ForegroundSumDeviation (self, float value)
	Foreground sum standard deviation.
float	BackgroundSumAverage (self)
	Background sum average.
	BackgroundSumAverage (self, float value)
	Background sum average.
float	BackgroundSumDeviation (self)
	Background sum standard deviation.
	BackgroundSumDeviation (self, float value)
	Background sum standard deviation.
float	CorrelationAverage (self)
	Correlation average.
	CorrelationAverage (self, float value)
	Correlation average.
float	CorrelationDeviation (self)
	Correlation standard deviation.
	CorrelationDeviation (self, float value)
	Correlation standard deviation.

Detailed Description

Holds all information related to a single character, such as nominal and average position, reference quality indicators,... During the learning phases, it also keeps the list of its constituent blobs.

Remarks:

The statistics available for each character are the average, standard deviation (unbiased), minimum and maximum computed on the corresponding parameters for all images for which eVision.EOCV.UpdateStatistics has been invoked after inspection. The average is only available when at least one set of results has been accumulated. The standard deviation is only available when at least two sets of results have been accumulated.

License(s): EasyOCV

Deprecated

Deprecated in version 26.2. Scheduled to be removed in version 27.6.

Constructor & Destructor Documentation

__init__() [1/2]

None eVision.EOCVChar.__init__

(

self

)

Constructs an OCVChar context.

Remarks:

Default and copy constructors.

__init__() [2/2]

None eVision.EOCVChar.__init__	(		self,
		eVision.EOCVChar	other )

Constructs an OCVChar context.

Remarks:

Default and copy constructors.

Parameters

other

eVision.EOCVChar object to be copied.

Member Function Documentation

BackgroundAreaAverage() [1/2]

float eVision.EOCVChar.BackgroundAreaAverage

(

self

)

Background area average.

BackgroundAreaAverage() [2/2]

eVision.EOCVChar.BackgroundAreaAverage	(		self,
		float	value )

Background area average.

BackgroundAreaDeviation() [1/2]

float eVision.EOCVChar.BackgroundAreaDeviation

(

self

)

Background area standard deviation.

BackgroundAreaDeviation() [2/2]

eVision.EOCVChar.BackgroundAreaDeviation	(		self,
		float	value )

Background area standard deviation.

BackgroundAreaTolerance() [1/2]

int eVision.EOCVChar.BackgroundAreaTolerance

(

self

)

Maximum allowed difference between the sample and template background areas.

BackgroundAreaTolerance() [2/2]

eVision.EOCVChar.BackgroundAreaTolerance	(		self,
		int	value )

Maximum allowed difference between the sample and template background areas.

BackgroundSumAverage() [1/2]

float eVision.EOCVChar.BackgroundSumAverage

(

self

)

Background sum average.

BackgroundSumAverage() [2/2]

eVision.EOCVChar.BackgroundSumAverage	(		self,
		float	value )

Background sum average.

BackgroundSumDeviation() [1/2]

float eVision.EOCVChar.BackgroundSumDeviation

(

self

)

Background sum standard deviation.

BackgroundSumDeviation() [2/2]

eVision.EOCVChar.BackgroundSumDeviation	(		self,
		float	value )

Background sum standard deviation.

BackgroundSumTolerance() [1/2]

float eVision.EOCVChar.BackgroundSumTolerance

(

self

)

Maximum allowed difference between the sample and template background sums.

BackgroundSumTolerance() [2/2]

eVision.EOCVChar.BackgroundSumTolerance	(		self,
		float	value )

Maximum allowed difference between the sample and template background sums.

Correlation() [1/2]

float eVision.EOCVChar.Correlation

(

self

)

Normalized correlation involving the template and sample character images.

Correlation() [2/2]

eVision.EOCVChar.Correlation	(		self,
		float	value )

Normalized correlation involving the template and sample character images.

CorrelationAverage() [1/2]

float eVision.EOCVChar.CorrelationAverage

(

self

)

Correlation average.

CorrelationAverage() [2/2]

eVision.EOCVChar.CorrelationAverage	(		self,
		float	value )

Correlation average.

CorrelationDeviation() [1/2]

float eVision.EOCVChar.CorrelationDeviation

(

self

)

Correlation standard deviation.

CorrelationDeviation() [2/2]

eVision.EOCVChar.CorrelationDeviation	(		self,
		float	value )

Correlation standard deviation.

CorrelationTolerance() [1/2]

float eVision.EOCVChar.CorrelationTolerance

(

self

)

Maximum allowed difference between the normalized correlation and unity.

CorrelationTolerance() [2/2]

eVision.EOCVChar.CorrelationTolerance	(		self,
		float	value )

Maximum allowed difference between the normalized correlation and unity.

Diagnostics() [1/2]

int eVision.EOCVChar.Diagnostics

(

self

)

Logical combination (bitwise OR) of defects.

Remarks:

After inspection, each character is tagged with a logical combination of diagnostics, each corresponding to a kind of defect.

Diagnostics() [2/2]

eVision.EOCVChar.Diagnostics	(		self,
		int	value )

Logical combination (bitwise OR) of defects.

Remarks:

After inspection, each character is tagged with a logical combination of diagnostics, each corresponding to a kind of defect.

ForegroundAreaAverage() [1/2]

float eVision.EOCVChar.ForegroundAreaAverage

(

self

)

Foreground area average.

ForegroundAreaAverage() [2/2]

eVision.EOCVChar.ForegroundAreaAverage	(		self,
		float	value )

Foreground area average.

ForegroundAreaDeviation() [1/2]

float eVision.EOCVChar.ForegroundAreaDeviation

(

self

)

Foreground area standard deviation.

ForegroundAreaDeviation() [2/2]

eVision.EOCVChar.ForegroundAreaDeviation	(		self,
		float	value )

Foreground area standard deviation.

ForegroundAreaTolerance() [1/2]

int eVision.EOCVChar.ForegroundAreaTolerance

(

self

)

Maximum allowed difference between the sample and template foreground areas.

ForegroundAreaTolerance() [2/2]

eVision.EOCVChar.ForegroundAreaTolerance	(		self,
		int	value )

Maximum allowed difference between the sample and template foreground areas.

ForegroundSumAverage() [1/2]

float eVision.EOCVChar.ForegroundSumAverage

(

self

)

Foreground sum average.

ForegroundSumAverage() [2/2]

eVision.EOCVChar.ForegroundSumAverage	(		self,
		float	value )

Foreground sum average.

ForegroundSumDeviation() [1/2]

float eVision.EOCVChar.ForegroundSumDeviation

(

self

)

Foreground sum standard deviation.

ForegroundSumDeviation() [2/2]

eVision.EOCVChar.ForegroundSumDeviation	(		self,
		float	value )

Foreground sum standard deviation.

ForegroundSumTolerance() [1/2]

float eVision.EOCVChar.ForegroundSumTolerance

(

self

)

Maximum allowed difference between the sample and template foreground sums.

ForegroundSumTolerance() [2/2]

eVision.EOCVChar.ForegroundSumTolerance	(		self,
		float	value )

Maximum allowed difference between the sample and template foreground sums.

LocationScoreAverage() [1/2]

float eVision.EOCVChar.LocationScoreAverage

(

self

)

Location score average.

LocationScoreAverage() [2/2]

eVision.EOCVChar.LocationScoreAverage	(		self,
		float	value )

Location score average.

LocationScoreDeviation() [1/2]

float eVision.EOCVChar.LocationScoreDeviation

(

self

)

Location score standard deviation.

LocationScoreDeviation() [2/2]

eVision.EOCVChar.LocationScoreDeviation	(		self,
		float	value )

Location score standard deviation.

LocationScoreTolerance() [1/2]

float eVision.EOCVChar.LocationScoreTolerance

(

self

)

Allowed absolute difference between the template and sample scores.

Remarks:

When the sample value lies outside the acceptance interval, a character not found diagnostic is issued. During the location phase, a score is computed on the sample image. During learning, the same score is measured on the template image to serve as a reference. The closer the template and sample scores, the more successful the location. The location score is a first indication on the conformance of the inspected sample. In particular, a very small sample score may indicate that the character is absent.

LocationScoreTolerance() [2/2]

eVision.EOCVChar.LocationScoreTolerance	(		self,
		float	value )

Allowed absolute difference between the template and sample scores.

Remarks:

When the sample value lies outside the acceptance interval, a character not found diagnostic is issued. During the location phase, a score is computed on the sample image. During learning, the same score is measured on the template image to serve as a reference. The closer the template and sample scores, the more successful the location. The location score is a first indication on the conformance of the inspected sample. In particular, a very small sample score may indicate that the character is absent.

MarginWidth() [1/2]

int eVision.EOCVChar.MarginWidth

(

self

)

Width of the extra space to be used around the characters bounding box (on all four sides) when computing a quality indicator.

MarginWidth() [2/2]

eVision.EOCVChar.MarginWidth	(		self,
		int	value )

Width of the extra space to be used around the characters bounding box (on all four sides) when computing a quality indicator.

NumContourPoints() [1/2]

int eVision.EOCVChar.NumContourPoints

(

self

)

Number of contour points of this character used for location.

Remarks:

The location process relies on points from the external contours of the character constituent blobs. The number of points to be used can be adjusted. The smaller this value, the faster the location, but a too small value can cause mismatches.

NumContourPoints() [2/2]

eVision.EOCVChar.NumContourPoints	(		self,
		int	value )

Number of contour points of this character used for location.

Remarks:

The location process relies on points from the external contours of the character constituent blobs. The number of points to be used can be adjusted. The smaller this value, the faster the location, but a too small value can cause mismatches.

ResetParameters()

None eVision.EOCVChar.ResetParameters

(

self

)

Sets all character parameters to the undefined value for use before a eVision.EOCV.SetTextCharParameters or eVision.EOCV.ScatterTextsCharsParameters operation.

SampleBackgroundArea() [1/2]

int eVision.EOCVChar.SampleBackgroundArea

(

self

)

Number of background pixels of this character corresponding to a background pixel of the template character.

SampleBackgroundArea() [2/2]

eVision.EOCVChar.SampleBackgroundArea	(		self,
		int	value )

Number of background pixels of this character corresponding to a background pixel of the template character.

SampleBackgroundSum() [1/2]

float eVision.EOCVChar.SampleBackgroundSum

(

self

)

Sum of the normalized gray-level values of the pixels of this character corresponding to a background pixel of the template character.

SampleBackgroundSum() [2/2]

eVision.EOCVChar.SampleBackgroundSum	(		self,
		float	value )

Sum of the normalized gray-level values of the pixels of this character corresponding to a background pixel of the template character.

SampleForegroundArea() [1/2]

int eVision.EOCVChar.SampleForegroundArea

(

self

)

Number of foreground pixels of this character corresponding to a foreground pixel of the template character.

SampleForegroundArea() [2/2]

eVision.EOCVChar.SampleForegroundArea	(		self,
		int	value )

Number of foreground pixels of this character corresponding to a foreground pixel of the template character.

SampleForegroundSum() [1/2]

float eVision.EOCVChar.SampleForegroundSum

(

self

)

Sum of the normalized gray-level values of the pixels of this character corresponding to a foreground pixel of the template character.

SampleForegroundSum() [2/2]

eVision.EOCVChar.SampleForegroundSum	(		self,
		float	value )

Sum of the normalized gray-level values of the pixels of this character corresponding to a foreground pixel of the template character.

SampleLocationScore() [1/2]

float eVision.EOCVChar.SampleLocationScore

(

self

)

Value of the location score measured on the sample during inspection.

Remarks:

During the location phase, a score is computed on the sample image. During learning, the same score is measured on the template image to serve as a reference. The closer the template and sample scores, the more successful the location. The location score is a first indication on the conformance of the inspected sample. In particular, a very small sample score may indicate that the character is absent.

SampleLocationScore() [2/2]

eVision.EOCVChar.SampleLocationScore	(		self,
		float	value )

Value of the location score measured on the sample during inspection.

Remarks:

During the location phase, a score is computed on the sample image. During learning, the same score is measured on the template image to serve as a reference. The closer the template and sample scores, the more successful the location. The location score is a first indication on the conformance of the inspected sample. In particular, a very small sample score may indicate that the character is absent.

Selected() [1/2]

int eVision.EOCVChar.Selected

(

self

)

Selection state: TRUE when selected.

Selected() [2/2]

eVision.EOCVChar.Selected	(		self,
		int	value )

Selection state: TRUE when selected.

ShiftX() [1/2]

float eVision.EOCVChar.ShiftX

(

self

)

Measured horizontal translation.

ShiftX() [2/2]

eVision.EOCVChar.ShiftX	(		self,
		float	value )

Measured horizontal translation.

ShiftXAverage() [1/2]

float eVision.EOCVChar.ShiftXAverage

(

self

)

Shift X average.

ShiftXAverage() [2/2]

eVision.EOCVChar.ShiftXAverage	(		self,
		float	value )

Shift X average.

ShiftXBias() [1/2]

float eVision.EOCVChar.ShiftXBias

(

self

)

Horizontal translation bias.

Remarks:

0 corresponds to the nominal position.

ShiftXBias() [2/2]

eVision.EOCVChar.ShiftXBias	(		self,
		float	value )

Horizontal translation bias.

Remarks:

0 corresponds to the nominal position.

ShiftXDeviation() [1/2]

float eVision.EOCVChar.ShiftXDeviation

(

self

)

Shift X standard deviation.

ShiftXDeviation() [2/2]

eVision.EOCVChar.ShiftXDeviation	(		self,
		float	value )

Shift X standard deviation.

ShiftXMax() [1/2]

float eVision.EOCVChar.ShiftXMax

(

self

)

Maximum Shift X.

ShiftXMax() [2/2]

eVision.EOCVChar.ShiftXMax	(		self,
		float	value )

Maximum Shift X.

ShiftXMin() [1/2]

float eVision.EOCVChar.ShiftXMin

(

self

)

Minimum Shift X.

ShiftXMin() [2/2]

eVision.EOCVChar.ShiftXMin	(		self,
		float	value )

Minimum Shift X.

ShiftXStride() [1/2]

int eVision.EOCVChar.ShiftXStride

(

self

)

First pass stride for the horizontal translation.

ShiftXStride() [2/2]

eVision.EOCVChar.ShiftXStride	(		self,
		int	value )

First pass stride for the horizontal translation.

ShiftXTolerance() [1/2]

float eVision.EOCVChar.ShiftXTolerance

(

self

)

Horizontal translation tolerance.

ShiftXTolerance() [2/2]

eVision.EOCVChar.ShiftXTolerance	(		self,
		float	value )

Horizontal translation tolerance.

ShiftY() [1/2]

float eVision.EOCVChar.ShiftY

(

self

)

Measured vertical translation.

ShiftY() [2/2]

eVision.EOCVChar.ShiftY	(		self,
		float	value )

Measured vertical translation.

ShiftYAverage() [1/2]

float eVision.EOCVChar.ShiftYAverage

(

self

)

Shift Y average.

ShiftYAverage() [2/2]

eVision.EOCVChar.ShiftYAverage	(		self,
		float	value )

Shift Y average.

ShiftYBias() [1/2]

float eVision.EOCVChar.ShiftYBias

(

self

)

Vertical translation bias.

0 corresponds to the nominal position.

ShiftYBias() [2/2]

eVision.EOCVChar.ShiftYBias	(		self,
		float	value )

Vertical translation bias.

0 corresponds to the nominal position.

ShiftYDeviation() [1/2]

float eVision.EOCVChar.ShiftYDeviation

(

self

)

Shift Y standard deviation.

ShiftYDeviation() [2/2]

eVision.EOCVChar.ShiftYDeviation	(		self,
		float	value )

Shift Y standard deviation.

ShiftYMax() [1/2]

float eVision.EOCVChar.ShiftYMax

(

self

)

Maximum Shift Y.

ShiftYMax() [2/2]

eVision.EOCVChar.ShiftYMax	(		self,
		float	value )

Maximum Shift Y.

ShiftYMin() [1/2]

float eVision.EOCVChar.ShiftYMin

(

self

)

Minimum Shift Y.

ShiftYMin() [2/2]

eVision.EOCVChar.ShiftYMin	(		self,
		float	value )

Minimum Shift Y.

ShiftYStride() [1/2]

int eVision.EOCVChar.ShiftYStride

(

self

)

First pass stride for the vertical translation.

ShiftYStride() [2/2]

eVision.EOCVChar.ShiftYStride	(		self,
		int	value )

First pass stride for the vertical translation.

ShiftYTolerance() [1/2]

float eVision.EOCVChar.ShiftYTolerance

(

self

)

Vertical translation tolerance.

ShiftYTolerance() [2/2]

eVision.EOCVChar.ShiftYTolerance	(		self,
		float	value )

Vertical translation tolerance.

TemplateBackgroundArea() [1/2]

int eVision.EOCVChar.TemplateBackgroundArea

(

self

)

Number of pixels in the background of this character.

TemplateBackgroundArea() [2/2]

eVision.EOCVChar.TemplateBackgroundArea	(		self,
		int	value )

Number of pixels in the background of this character.

TemplateBackgroundSum() [1/2]

float eVision.EOCVChar.TemplateBackgroundSum

(

self

)

Sum of the normalized gray-level values of the background pixels of this character.

TemplateBackgroundSum() [2/2]

eVision.EOCVChar.TemplateBackgroundSum	(		self,
		float	value )

Sum of the normalized gray-level values of the background pixels of this character.

TemplateForegroundArea() [1/2]

int eVision.EOCVChar.TemplateForegroundArea

(

self

)

Number of pixels in the template foreground of this character.

TemplateForegroundArea() [2/2]

eVision.EOCVChar.TemplateForegroundArea	(		self,
		int	value )

Number of pixels in the template foreground of this character.

TemplateForegroundSum() [1/2]

float eVision.EOCVChar.TemplateForegroundSum

(

self

)

Sum of the normalized gray-level values of the foreground pixels of this character.

TemplateForegroundSum() [2/2]

eVision.EOCVChar.TemplateForegroundSum	(		self,
		float	value )

Sum of the normalized gray-level values of the foreground pixels of this character.

TemplateLocationScore() [1/2]

float eVision.EOCVChar.TemplateLocationScore

(

self

)

Value of the location score measured on the template during learning.

Remarks:

If necessary, this value may be set explicitly. During the location phase, a score is computed on the sample image. During learning, the same score is measured on the template image to serve as a reference. The closer the template and sample scores, the more successful the location. The location score is a first indication on the conformance of the inspected sample. In particular, a very small sample score may indicate that the character is absent.

TemplateLocationScore() [2/2]

eVision.EOCVChar.TemplateLocationScore	(		self,
		float	value )

Value of the location score measured on the template during learning.

Remarks:

If necessary, this value may be set explicitly. During the location phase, a score is computed on the sample image. During learning, the same score is measured on the template image to serve as a reference. The closer the template and sample scores, the more successful the location. The location score is a first indication on the conformance of the inspected sample. In particular, a very small sample score may indicate that the character is absent.

WhiteOnBlack() [1/2]

bool eVision.EOCVChar.WhiteOnBlack

(

self

)

Character contrast: true for light characters on a dark background.

WhiteOnBlack() [2/2]

eVision.EOCVChar.WhiteOnBlack	(		self,
		bool	value )

Character contrast: true for light characters on a dark background.