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

Segmenter Parameters. More...

#include <SegmenterRegionGrowingMeanStrategy.h>

Inheritance diagram for te::rp::SegmenterRegionGrowingMeanStrategy::Parameters:
te::rp::SegmenterStrategyParameters te::common::AbstractParameters

Public Member Functions

AbstractParametersclone () const
 Create a clone copy of this instance. More...
 
const Parametersoperator= (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

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.


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