te::rp::SegmenterRegionGrowingMeanStrategy::Parameters Class Reference

Segmenter Parameters. More...

#include <SegmenterRegionGrowingMeanStrategy.h>

Inheritance diagram for te::rp::SegmenterRegionGrowingMeanStrategy::Parameters:

Public Member Functions
AbstractParameters *	clone () const
	Create a clone copy of this instance. More...
const Parameters &	operator= (const Parameters &params)
	Parameters ()
void	reset () throw ( te::rp::Exception )
	Clear all internal allocated resources and reset the parameters instance to its initial state. More...
	~Parameters ()

Public Attributes
Global parameters
unsigned int	m_minSegmentSize
	A positive minimum segment size (pixels number - default: 100). More...
double	m_segmentsSimilarityThreshold
	Segments similarity treshold - Use lower values to merge only those segments that are more similar - Higher values will allow more segments to be merged - valid values range: positive values - default: 0.03 ). More...
unsigned int	m_segmentsSimIncreaseSteps
	The maximum number of steps to increment the similarity threshold value for the cases where no segment merge occurred - zero will disable segment similarity threshold increments - defaul: 2. More...
bool	m_enableLocalMutualBestFitting
	If enabled, a merge only occurs between two segments if the minimum dissimilarity criteria is best fulfilled mutually (default: false). More...
bool	m_enableSameIterationMerges
	If enabled, a merged segment could be merged with another within the same iteration (default:false). More...

Detailed Description

Segmenter Parameters.

Definition at line 60 of file SegmenterRegionGrowingMeanStrategy.h.

Constructor & Destructor Documentation

te::rp::SegmenterRegionGrowingMeanStrategy::Parameters::Parameters

(

)

te::rp::SegmenterRegionGrowingMeanStrategy::Parameters::~Parameters

(

)

Member Function Documentation

AbstractParameters* te::rp::SegmenterRegionGrowingMeanStrategy::Parameters::clone ( ) const

virtual

Create a clone copy of this instance.

Returns

A clone copy of this instance.

Note

The caller will take the ownership of the returned pointer.

Implements te::common::AbstractParameters.

const Parameters& te::rp::SegmenterRegionGrowingMeanStrategy::Parameters::operator=

(

const Parameters &

params

)

void te::rp::SegmenterRegionGrowingMeanStrategy::Parameters::reset ( ) throw ( te::rp::Exception )

virtual

Clear all internal allocated resources and reset the parameters instance to its initial state.

Implements te::common::AbstractParameters.

Member Data Documentation

bool te::rp::SegmenterRegionGrowingMeanStrategy::Parameters::m_enableLocalMutualBestFitting

If enabled, a merge only occurs between two segments if the minimum dissimilarity criteria is best fulfilled mutually (default: false).

Definition at line 75 of file SegmenterRegionGrowingMeanStrategy.h.

bool te::rp::SegmenterRegionGrowingMeanStrategy::Parameters::m_enableSameIterationMerges

If enabled, a merged segment could be merged with another within the same iteration (default:false).

Definition at line 77 of file SegmenterRegionGrowingMeanStrategy.h.

unsigned int te::rp::SegmenterRegionGrowingMeanStrategy::Parameters::m_minSegmentSize

A positive minimum segment size (pixels number - default: 100).

Definition at line 69 of file SegmenterRegionGrowingMeanStrategy.h.

double te::rp::SegmenterRegionGrowingMeanStrategy::Parameters::m_segmentsSimilarityThreshold

Segments similarity treshold - Use lower values to merge only those segments that are more similar - Higher values will allow more segments to be merged - valid values range: positive values - default: 0.03 ).

Definition at line 71 of file SegmenterRegionGrowingMeanStrategy.h.

unsigned int te::rp::SegmenterRegionGrowingMeanStrategy::Parameters::m_segmentsSimIncreaseSteps

The maximum number of steps to increment the similarity threshold value for the cases where no segment merge occurred - zero will disable segment similarity threshold increments - defaul: 2.

Definition at line 73 of file SegmenterRegionGrowingMeanStrategy.h.

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

• /home/castejon/castejon_files/develop/terralib5/git_master/terralib5/src/terralib/rp/SegmenterRegionGrowingMeanStrategy.h