Public Member Functions | List of all members
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

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 ( )

Definition at line 57 of file SegmenterRegionGrowingMeanStrategy.cpp.

References reset(), and ~Parameters().

te::rp::SegmenterRegionGrowingMeanStrategy::Parameters::~Parameters ( )
default

Referenced by Parameters().

Member Function Documentation

te::common::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.

Definition at line 89 of file SegmenterRegionGrowingMeanStrategy.cpp.

const SegmenterRegionGrowingMeanStrategy::Parameters & te::rp::SegmenterRegionGrowingMeanStrategy::Parameters::operator= ( const Parameters &  params)

Definition at line 65 of file SegmenterRegionGrowingMeanStrategy.cpp.

References m_enableLocalMutualBestFitting, m_enableSameIterationMerges, m_minSegmentSize, m_segmentsSimilarityThreshold, m_segmentsSimIncreaseSteps, and reset().

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.

Definition at line 79 of file SegmenterRegionGrowingMeanStrategy.cpp.

References m_enableLocalMutualBestFitting, m_enableSameIterationMerges, m_minSegmentSize, m_segmentsSimilarityThreshold, and m_segmentsSimIncreaseSteps.

Referenced by te::rp::SegmenterRegionGrowingMeanStrategy::initialize(), operator=(), Parameters(), te::rp::SegmenterRegionGrowingMeanStrategy::reset(), and te::rp::SegmenterRegionGrowingMeanStrategy::~SegmenterRegionGrowingMeanStrategy().

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.

Referenced by te::rp::SegmenterRegionGrowingMeanStrategy::execute(), te::qt::widgets::SegmenterWizardPage::getInputParams(), operator=(), and reset().

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.

Referenced by te::rp::SegmenterRegionGrowingMeanStrategy::execute(), te::qt::widgets::SegmenterWizardPage::getInputParams(), operator=(), and reset().

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.

Referenced by BOOST_AUTO_TEST_CASE(), BOOST_AUTO_TEST_SUITE(), te::rp::SegmenterRegionGrowingMeanStrategy::execute(), te::qt::widgets::SegmenterWizardPage::getInputParams(), te::rp::SegmenterRegionGrowingMeanStrategy::getOptimalBlocksOverlapSize(), te::rp::SegmenterRegionGrowingMeanStrategy::initialize(), te::qt::widgets::SegmenterDialog::on_okPushButton_clicked(), operator=(), reset(), Segmenter(), and SegmentImage().

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.

Referenced by BOOST_AUTO_TEST_CASE(), BOOST_AUTO_TEST_SUITE(), te::rp::SegmenterRegionGrowingMeanStrategy::execute(), te::qt::widgets::SegmenterWizardPage::getInputParams(), te::rp::SegmenterRegionGrowingMeanStrategy::initialize(), te::qt::widgets::SegmenterDialog::on_okPushButton_clicked(), operator=(), reset(), Segmenter(), and SegmentImage().

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.

Referenced by te::rp::SegmenterRegionGrowingMeanStrategy::execute(), operator=(), and reset().

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