ChamferOp.h

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/********************************************************************
**                Image Component Library (ICL)                    **
**                                                                 **
** Copyright (C) 2006-2013 CITEC, University of Bielefeld          **
**                         Neuroinformatics Group                  **
** Website: www.iclcv.org and                                      **
**          http://opensource.cit-ec.de/projects/icl               **
**                                                                 **
** File   : ICLFilter/src/ICLFilter/ChamferOp.h                    **
** Module : ICLFilter                                              **
** Authors: Christof Elbrechter                                    **
**                                                                 **
**                                                                 **
** GNU LESSER GENERAL PUBLIC LICENSE                               **
** This file may be used under the terms of the GNU Lesser General **
** Public License version 3.0 as published by the                  **
**                                                                 **
** Free Software Foundation and appearing in the file LICENSE.LGPL **
** included in the packaging of this file.  Please review the      **
** following information to ensure the license requirements will   **
** be met: http://www.gnu.org/licenses/lgpl-3.0.txt                **
**                                                                 **
** The development of this software was supported by the           **
** Excellence Cluster EXC 277 Cognitive Interaction Technology.    **
** The Excellence Cluster EXC 277 is a grant of the Deutsche       **
** Forschungsgemeinschaft (DFG) in the context of the German       **
** Excellence Initiative.                                          **
**                                                                 **
********************************************************************/

#pragma once

#include <ICLUtils/CompatMacros.h>
#include <ICLUtils/Point.h>
#include <ICLCore/Img.h>
#include <ICLFilter/UnaryOp.h>
#include <vector>

namespace icl{
  namespace filter{

    class ICLFilter_API ChamferOp : public UnaryOp{
      public:
      enum hausdorffMetric{
        hausdorff_max, 
        hausdorff_mean 
      };
      enum outerROIPenaltyMode{
        noPenalty,      
        constPenalty,   
        distancePenalty 
      };


      ChamferOp( icl32s horizontalAndVerticalNeighbourDistance=3, icl32s diagonalNeighborDistance=4, int scaleFactor=1, bool scaleUpResult=true);

      virtual ~ChamferOp(){}


      virtual void apply(const core::ImgBase *poSrc, core::ImgBase **ppoDst);

      using UnaryOp::apply;


      static void renderModel(const std::vector<utils::Point> &model, core::ImgBase **image, const utils::Size &size, icl32s bg=0, icl32s fg=255, utils::Rect roi=utils::Rect::null);



      static double computeDirectedHausdorffDistance(const core::Img32s *chamferImage,
                                                     const std::vector<utils::Point> &model,
                                                     hausdorffMetric m=hausdorff_mean,
                                                     outerROIPenaltyMode pm=noPenalty,
                                                     icl32s penaltyValue=0);

      static double computeDirectedHausdorffDistance(const core::Img32s *chamferImage,
                                                     const core::Img32s *modelChamferImage,
                                                     ChamferOp::hausdorffMetric m,
                                                     ChamferOp::outerROIPenaltyMode pm=noPenalty,
                                                     icl32s penaltyValue=0);



      static double computeSymmetricHausdorffDistance(const core::Img32s *chamferImageA,
                                                      const core::Img32s *chamferImageB,
                                                      hausdorffMetric m=hausdorff_mean,
                                                      ChamferOp::outerROIPenaltyMode pm=noPenalty,
                                                      icl32s penaltyValue=0);

      static double computeSymmetricHausdorffDistance(const std::vector<utils::Point> setA, const utils::Size &sizeA, const utils::Rect &roiA, core::ImgBase **bufferA,
                                                      const std::vector<utils::Point> setB, const utils::Size &sizeB, const utils::Rect &roiB, core::ImgBase **bufferB,
                                                      hausdorffMetric m=hausdorff_mean,
                                                      ChamferOp::outerROIPenaltyMode pm=noPenalty,
                                                      icl32s penaltyValue=0,
                                                      ChamferOp coA=ChamferOp(),
                                                      ChamferOp coB=ChamferOp() );


      static double computeSymmeticHausdorffDistance(const core::Img32s *chamferImage,
                                                     const std::vector<utils::Point> &model,
                                                     const utils::Size &modelImageSize,
                                                     const utils::Rect &modelImageROI,
                                                     core::ImgBase **bufferImageA,
                                                     core::ImgBase **bufferImageB,
                                                     hausdorffMetric m=hausdorff_mean,
                                                     ChamferOp::outerROIPenaltyMode pm=noPenalty,
                                                     icl32s penaltyValue=0,
                                                     ChamferOp co=ChamferOp());


      private:
      icl32s m_iHorizontalAndVerticalNeighbourDistance;

      icl32s m_iDiagonalNeighborDistance;

      int m_iScaleFactor;

      bool m_bScaleUpResult;

      core::Img32s m_oBufferImage;
    };
  } // namespace filter
}