The class binarize a grayvalue image. The segmentation algorithm is based on "Binarization of Historical Document Images Using Local Maximum and Minimum", Bolan Su, Shijian Lu and Chew Lim Tan, DAS 2010. More...

#include <Binarization.h>

Inheritance diagram for rdf::BaseBinarizationSu:

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Collaboration diagram for rdf::BaseBinarizationSu:

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Public Member Functions
	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...

virtual bool	compute () override
	Computes the thresholded image. More...

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

virtual QString	toString () const override
	Summary of the method. 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	compContrastImg (const cv::Mat &srcImg, const cv::Mat &mask) const

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

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

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

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

virtual float	thresholdVal (float mean, float std) 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
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 grayvalue image. The segmentation algorithm is based on "Binarization of Historical Document Images Using Local Maximum and Minimum", Bolan Su, Shijian Lu and Chew Lim Tan, DAS 2010.

See also: Module

Constructor & Destructor Documentation

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

Initializes a new instance of the BaseBinarizationSu class.

Parameters

img	The source img CV_8U.
mask	The optional mask image CV_8UC1.

Member Function Documentation

cv::Mat rdf::BaseBinarizationSu::binaryImage ( ) const

Returns the binary image.

Returns: The binary image CV_8UC1.

void rdf::BaseBinarizationSu::calcFilterParams	(	int &	filterS,
		int &	Nm
	)

inlineprotectedvirtual

Reimplemented in rdf::BinarizationSuAdapted.

bool rdf::BaseBinarizationSu::checkInput ( ) const

overrideprotectedvirtual

checks if all input images are in the specified format.

Implements rdf::Module.

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

protected

cv::Mat rdf::BaseBinarizationSu::compContrastImg	(	const cv::Mat &	srcImg,
		const cv::Mat &	mask
	)		const

protected

bool rdf::BaseBinarizationSu::compute ( )

overridevirtual

Computes the thresholded image.

Returns: True if the binary image could be computed.

Implements rdf::Module.

Reimplemented in rdf::BinarizationSuFgdWeight, and rdf::BinarizationSuAdapted.

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

protected

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

protected

QSharedPointer< BaseBinarizationSuConfig > rdf::BaseBinarizationSu::config ( ) const

float rdf::BaseBinarizationSu::contrastVal	(	const unsigned char *	maxVal,
		const unsigned char *	minVal
	)		const

inlineprotectedvirtual

Reimplemented in rdf::BinarizationSuAdapted.

bool rdf::BaseBinarizationSu::isEmpty ( ) const

overridevirtual

Determines whether this instance is empty.

Returns: True if the source image is not set.

Implements rdf::Module.

void rdf::BaseBinarizationSu::setPreFiltering	(	bool	preFilter = `true`,
		int	preFilterSize = `10`
	)

Sets the preFiltering. All blobs smaller than preFilterSize are removed if preFilter is true.

Parameters

preFilter	if set to `true` [prefilter] is applied and all blobs smaller then preFilterSize are removed.
preFilterSize	Size of the prefilter.

float rdf::BaseBinarizationSu::strokeWidth ( const cv::Mat & contrastImg ) const

protectedvirtual

float rdf::BaseBinarizationSu::thresholdVal	(	float *	mean,
		float *	std
	)		const

inlineprotectedvirtual

Reimplemented in rdf::BinarizationSuAdapted.

QString rdf::BaseBinarizationSu::toString ( ) const

overridevirtual

Summary of the method.

Returns: The summary string.

Reimplemented from rdf::Module.

Reimplemented in rdf::BinarizationSuAdapted.

Member Data Documentation

cv::Mat rdf::BaseBinarizationSu::mBwImg

protected

cv::Mat rdf::BaseBinarizationSu::mMask

protected

bool rdf::BaseBinarizationSu::mPreFilter = true

protected

int rdf::BaseBinarizationSu::mPreFilterSize = 10

protected

cv::Mat rdf::BaseBinarizationSu::mSrcImg

protected

float rdf::BaseBinarizationSu::mStrokeW = 4

protected

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

/srv/ReadFramework/src/Module/Binarization.h
/srv/ReadFramework/src/Module/Binarization.cpp

Public Member Functions

Protected Member Functions

Protected Attributes

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation