SimEventShapeEstimatorOutput Class Reference

A new output is available from the ShapeEstimator. More...

#include <Neuro/NeuroSimEvents.H>

Inheritance diagram for SimEventShapeEstimatorOutput:

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Collaboration diagram for SimEventShapeEstimatorOutput:

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List of all members.

Public Member Functions
	SimEventShapeEstimatorOutput (SimModule *src, const Image< float > &winmap, const Image< byte > &objmask, const Image< byte > &iormask, const Image< float > &smoothmask, const Image< float > &cumsmoothmask, const std::string &winlabel, const bool isshaped)
	Constuctor.
virtual	~SimEventShapeEstimatorOutput ()
	Destructor.
virtual std::string	toString () const
	Get a description for printing out.
const Image< float > &	winningMap () const
	Get the map where the winner was found.
const Image< byte > &	objectMask () const
	Get the object mask.
const Image< byte > &	iorMask () const
	Get the IOR mask.
const Image< float > &	smoothMask () const
	Get the smooth mask.
Image< float >	cumSmoothMask () const
	Get the cumulative smooth mask.
Image< float >	negCumSmoothMask () const
	Get a negative of the cumulative smooth mask.
const std::string &	winningLabel () const
	Get description of the feature/conspic/saliency map used for masks.
uint	objectArea () const
	Get object area, in original input pixels.
bool	isShaped () const
	Did the shape extraction succeed?

Detailed Description

A new output is available from the ShapeEstimator.

Definition at line 393 of file NeuroSimEvents.H.

Constructor & Destructor Documentation

SimEventShapeEstimatorOutput::SimEventShapeEstimatorOutput	(	SimModule *	src,
		const Image< float > &	winmap,
		const Image< byte > &	objmask,
		const Image< byte > &	iormask,
		const Image< float > &	smoothmask,
		const Image< float > &	cumsmoothmask,
		const std::string &	winlabel,
		const bool	isshaped
	)

Constuctor.

Definition at line 396 of file NeuroSimEvents.C.

SimEventShapeEstimatorOutput::~SimEventShapeEstimatorOutput ( ) [virtual]

Destructor.

Definition at line 410 of file NeuroSimEvents.C.

Member Function Documentation

Image< float > SimEventShapeEstimatorOutput::cumSmoothMask ( ) const

Get the cumulative smooth mask.

The cumulative smooth mask a merger of all smooth masks since the last reset().

Definition at line 434 of file NeuroSimEvents.C.

References inplaceClamp().

const Image< byte > & SimEventShapeEstimatorOutput::iorMask ( ) const

Get the IOR mask.

The IOR mask is a byte map [0,255] - 0 everywhere outside the object, (winMapNormalized * 255) everywhere inside the object this is used for IOR in a graded manner - the stronger the winning property is in a certain position, the stronger this position is inhibited.

Definition at line 428 of file NeuroSimEvents.C.

bool SimEventShapeEstimatorOutput::isShaped ( ) const

Did the shape extraction succeed?

If this returns true, then the ShapeEstimator was able to find a shape to extract. Otherwise it fell back to just using a disk at the attended location. The masks always contain something, just sometimes that thing may be a disk rather than a nicely segmented object.

Definition at line 457 of file NeuroSimEvents.C.

Image< float > SimEventShapeEstimatorOutput::negCumSmoothMask ( ) const

Get a negative of the cumulative smooth mask.

Definition at line 441 of file NeuroSimEvents.C.

References inplaceClamp().

uint SimEventShapeEstimatorOutput::objectArea ( ) const

Get object area, in original input pixels.

Definition at line 451 of file NeuroSimEvents.C.

References Image< T >::getSize(), and sum().

const Image< byte > & SimEventShapeEstimatorOutput::objectMask ( ) const

Get the object mask.

The object mask is a binary mask {0,255} specifiying the extend of the object (255 inside the object and 0 outside). Its dims are the dims of the map where the object was segmented (depends on shape estimator mode used).

Definition at line 425 of file NeuroSimEvents.C.

const Image< float > & SimEventShapeEstimatorOutput::smoothMask ( ) const

Get the smooth mask.

The smooth mask is a float map [0.0,1.0] in input image coordinates created from the object mask by scaling it up and smoothing out the edges with some specified smoothing method.

Definition at line 431 of file NeuroSimEvents.C.

std::string SimEventShapeEstimatorOutput::toString ( ) const [virtual]

Get a description for printing out.

Reimplemented from SimEvent.

Definition at line 413 of file NeuroSimEvents.C.

References Image< T >::getHeight(), Image< T >::getWidth(), and sformat().

const std::string & SimEventShapeEstimatorOutput::winningLabel ( ) const

Get description of the feature/conspic/saliency map used for masks.

Definition at line 448 of file NeuroSimEvents.C.

const Image< float > & SimEventShapeEstimatorOutput::winningMap ( ) const

Get the map where the winner was found.

Definition at line 422 of file NeuroSimEvents.C.