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/*
//
// Copyright 1997-2009 Torsten Rohlfing
//
// Copyright 2004-2013 SRI International
//
// This file is part of the Computational Morphometry Toolkit.
//
// http://www.nitrc.org/projects/cmtk/
//
// The Computational Morphometry Toolkit is free software: you can
// redistribute it and/or modify it under the terms of the GNU General Public
// License as published by the Free Software Foundation, either version 3 of
// the License, or (at your option) any later version.
//
// The Computational Morphometry Toolkit is distributed in the hope that it
// will be useful, but WITHOUT ANY WARRANTY; without even the implied
// warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License along
// with the Computational Morphometry Toolkit. If not, see
// <http://www.gnu.org/licenses/>.
//
// $Revision: 5436 $
//
// $LastChangedDate: 2018-12-10 19:01:20 -0800 (Mon, 10 Dec 2018) $
//
// $LastChangedBy: torstenrohlfing $
//
*/
#ifndef __cmtkLabelCombinationLocalShapeBasedAveraging_h_included_
#define __cmtkLabelCombinationLocalShapeBasedAveraging_h_included_
#include <cmtkconfig.h>
#include <Segmentation/cmtkLabelCombinationLocalVoting.h>
namespace
cmtk
{
/** \addtogroup Segmentation */
//@{
/** Segmentation combination by locally-weighted shape-based averaging.
*/
class LabelCombinationLocalShapeBasedAveraging
: public LabelCombinationLocalVoting
{
public:
/// This class.
typedef LabelCombinationLocalShapeBasedAveraging Self;
/// Smart pointer to this class.
typedef SmartPointer<Self> SmartPtr;
/// Smart pointer to const to this class.
typedef SmartConstPointer<Self> SmartConstPtr;
/// Parent class.
typedef LabelCombinationLocalVoting Superclass;
/// Constructor: compute label combination.
LabelCombinationLocalShapeBasedAveraging( const UniformVolume::SmartConstPtr targetImage ) : Superclass( targetImage ), m_MaxLabelValue( 0 ), m_DetectLocalOutliers( false ) {}
/// Set flag to detect local outliers at each pixel in the co-registered distance maps.
void SetDetectLocalOutliers( const bool detectOutliers = true )
{
this->m_DetectLocalOutliers = detectOutliers;
}
/// Get resulting combined segmentation.
virtual TypedArray::SmartPtr GetResult() const;
private:
/** Maximum label value.
* If this is zero, then the class will determine the largest value that is present in the input label maps.
*/
int m_MaxLabelValue;
/// Flag for outlier detection.
bool m_DetectLocalOutliers;
/// Compute result for a region.
void ComputeResultForRegion( TypedArray& result /*!< Evolving result label map */,
std::vector<float>& resultDistance /*!< Evolving result distance map */,
const int label /*!< Current label */,
const Self::TargetRegionType& region /*!< Image region to work on */,
std::vector<UniformVolume::SmartConstPtr> dmaps /*!< Vector of distance maps per atlas for the current label */ ) const;
};
} // namespace cmtk
#endif // #ifndef __cmtkLabelCombinationLocalShapeBasedAveraging_h_included_
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