The class binarize a rgb color image. To make the algorithm robust against noise, the foreground is estimated and the image is weighted with the foreground. (Foreground estimation is performed by a Mean Filter with a size of 32x32 px). More...

#include <Binarization.h>

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Public Member Functions
	BinarizationSuFgdWeight (const cv::Mat &img, const cv::Mat &mask=cv::Mat())
	Initializes a new instance of the BinarizationSuFgdWeight class. More...

virtual bool	compute () override
	Computes the foreground weighted image. More...

Public Member Functions inherited from rdf::BinarizationSuAdapted
	BinarizationSuAdapted (const cv::Mat &img, const cv::Mat &mask=cv::Mat())
	Initializes a new instance of the BinarizationSuAdapted class. More...

virtual QString	toString () const override
	Summary of parameters as String. More...

void	setFiltering (bool medianFilter)
	If set, a median filter of size 3 is applied at the end. More...

Public Member Functions inherited from rdf::BaseBinarizationSu
	BaseBinarizationSu (const cv::Mat &img, const cv::Mat &mask=cv::Mat())
	Initializes a new instance of the BaseBinarizationSu class. More...

bool	isEmpty () const override
	Determines whether this instance is empty. More...

cv::Mat	binaryImage () const
	Returns the binary image. More...

void	setPreFiltering (bool preFilter=true, int preFilterSize=10)
	Sets the preFiltering. All blobs smaller than preFilterSize are removed if preFilter is true. More...

QSharedPointer< BaseBinarizationSuConfig >	config () const

Public Member Functions inherited from rdf::Module
	Module ()
	Default constructor Initializes a new instance of the Module class. More...

virtual QString	name () const
	Returns the module's name. More...

virtual void	setConfig (QSharedPointer< ModuleConfig > config)

QSharedPointer< ModuleConfig >	config () const

Protected Member Functions
cv::Mat	computeFgd () const

cv::Mat	computeMeanFgdEst (const cv::Mat &grayImg32F, const cv::Mat &mask) const

cv::Scalar	computeConfidence () const

virtual void	weightFunction (cv::Mat &grayImg, cv::Mat &thrImg, const cv::Mat &mask)

Protected Member Functions inherited from rdf::BinarizationSuAdapted
float	setStrokeWidth (float strokeW)

virtual float	thresholdVal (float mean, float std) const

virtual float	contrastVal (const unsigned char maxVal, const unsigned char minVal) const override

virtual void	calcFilterParams (int &filterS, int &Nm) override

Protected Member Functions inherited from rdf::BaseBinarizationSu
cv::Mat	compContrastImg (const cv::Mat &srcImg, const cv::Mat &mask) const

cv::Mat	compBinContrastImg (const cv::Mat &contrastImg) const

virtual float	strokeWidth (const cv::Mat &contrastImg) const

void	computeDistHist (const cv::Mat &src, QList< int > maxDiffList, QList< float > localIntensity) const

void	computeThrImg (const cv::Mat &grayImg32F, const cv::Mat &binContrast, cv::Mat &thresholdImg, cv::Mat &thresholdContrastPxImg)

bool	checkInput () const override

Protected Member Functions inherited from rdf::Module
QString	debugName () const

Protected Attributes
int	mFgdEstFilterSize = 32

float	mSigmSlope = 15.0f

cv::Mat	mFgdEstImg

cv::Scalar	mMeanContrast = cv::Scalar(-1.0f,-1.0f,-1.0f,-1.0f)

cv::Scalar	mStdContrast = cv::Scalar(-1.0f,-1.0f,-1.0f,-1.0f)

float	mConfidence = -1.0f

Protected Attributes inherited from rdf::BinarizationSuAdapted
cv::Mat	mContrastImg

cv::Mat	mBinContrastImg

cv::Mat	mThrImg

Protected Attributes inherited from rdf::BaseBinarizationSu
cv::Mat	mSrcImg

cv::Mat	mBwImg

cv::Mat	mMask

bool	mPreFilter = true

int	mPreFilterSize = 10

float	mStrokeW = 4

Protected Attributes inherited from rdf::Module
QSharedPointer< ModuleConfig >	mConfig

Detailed Description

The class binarize a rgb color image. To make the algorithm robust against noise, the foreground is estimated and the image is weighted with the foreground. (Foreground estimation is performed by a Mean Filter with a size of 32x32 px).

See also: BinarizationSuAdapted

Constructor & Destructor Documentation

rdf::BinarizationSuFgdWeight::BinarizationSuFgdWeight	(	const cv::Mat &	img,
		const cv::Mat &	mask = `cv::Mat()`
	)

Initializes a new instance of the BinarizationSuFgdWeight class.

Parameters

img	The img.
mask	The mask.

Member Function Documentation

bool rdf::BinarizationSuFgdWeight::compute ( )

overridevirtual

Computes the foreground weighted image.

Returns: True if the image could be computed.

Reimplemented from rdf::BinarizationSuAdapted.

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cv::Scalar rdf::BinarizationSuFgdWeight::computeConfidence ( ) const

protected

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cv::Mat rdf::BinarizationSuFgdWeight::computeFgd ( ) const

protected

cv::Mat rdf::BinarizationSuFgdWeight::computeMeanFgdEst	(	const cv::Mat &	grayImg32F,
		const cv::Mat &	mask
	)		const

protected

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void rdf::BinarizationSuFgdWeight::weightFunction	(	cv::Mat &	grayImg,
		cv::Mat &	thrImg,
		const cv::Mat &	mask
	)

protectedvirtual

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Member Data Documentation

float rdf::BinarizationSuFgdWeight::mConfidence = -1.0f

protected

int rdf::BinarizationSuFgdWeight::mFgdEstFilterSize = 32

protected

cv::Mat rdf::BinarizationSuFgdWeight::mFgdEstImg

protected

cv::Scalar rdf::BinarizationSuFgdWeight::mMeanContrast = cv::Scalar(-1.0f,-1.0f,-1.0f,-1.0f)

protected

float rdf::BinarizationSuFgdWeight::mSigmSlope = 15.0f

protected

cv::Scalar rdf::BinarizationSuFgdWeight::mStdContrast = cv::Scalar(-1.0f,-1.0f,-1.0f,-1.0f)

protected

The documentation for this class was generated from the following files:

src/Module/Binarization.h
src/Module/Binarization.cpp

Public Member Functions

Protected Member Functions

Protected Attributes

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation