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/*
//
// Copyright 1997-2009 Torsten Rohlfing
//
// Copyright 2004-2012 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 __cmtkLabelCombinationShapeBasedAveraging_h_included_
#define __cmtkLabelCombinationShapeBasedAveraging_h_included_
#include <cmtkconfig.h>
#include <Base/cmtkUniformVolume.h>
#include <System/cmtkSmartPtr.h>
#include <System/cmtkSmartConstPtr.h>
#include <vector>
namespace
cmtk
{
/** \addtogroup Segmentation */
//@{
/** Label image combination by Shape Based Averaging.
*\see T. Rohlfing and C. R. Maurer, Jr., "Shape-based averaging," IEEE Transactions on Image Processing, vol. 16, no. 1, pp. 153-161, 2007. http://dx.doi.org/10.1109/TIP.2006.884936
*/
class
LabelCombinationShapeBasedAveraging
{
public:
/// This class.
typedef LabelCombinationShapeBasedAveraging Self;
/// Smart pointer to this class.
typedef SmartPointer<Self> SmartPtr;
/// Smart pointer to const this class.
typedef SmartConstPointer<Self> SmartConstPtr;
/// Label index type.
typedef unsigned short LabelIndexType;
/// Real-value type for distance maps.
typedef float DistanceMapRealType;
/// Constructor: compute label combination.
LabelCombinationShapeBasedAveraging( const std::vector<UniformVolume::SmartConstPtr>& labelImages /*!< Input label images. */,
const Self::LabelIndexType numberOfLabels = 0 /*!< Number of labels. If zero, the highest label index is determined from the data */ );
/// Get result.
TypedArray::SmartPtr GetResult( const bool detectOutliers = false /*!< Flag for local outlier detection.*/ ) const;
protected:
/// Number of labels.
Self::LabelIndexType m_NumberOfLabels;
/// Vector of label images.
const std::vector<UniformVolume::SmartConstPtr>& m_LabelImages;
/// Number of pixels per image.
size_t m_NumberOfPixels;
/// Flags for which labels actually exist in the data.
std::vector<bool> m_LabelFlags;
private:
/// Handle one label and include outliers.
void ProcessLabelIncludeOutliers( const Self::LabelIndexType label /*!< Current label */,
std::vector<Self::DistanceMapRealType>& labelDistanceMap /*!< Distance map array for the current label */ ) const;
/// Handle one label and exclude outliers.
void ProcessLabelExcludeOutliers( const Self::LabelIndexType label /*!< Current label */,
std::vector<Self::DistanceMapRealType>& labelDistanceMap /*!< Distance map array for the current label */ ) const;
};
} // namespace cmtk
#endif // #ifndef __cmtkLabelCombinationShapeBasedAveraging_h_included_
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