opencv/modules/shape/src/emdL1_def.hpp

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/*M///////////////////////////////////////////////////////////////////////////////////////
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// License Agreement
// For Open Source Computer Vision Library
//
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#include <stdlib.h>
#include <math.h>
#include <vector>
/****************************************************************************************\
* For EMDL1 Framework *
\****************************************************************************************/
typedef struct cvEMDEdge* cvPEmdEdge;
typedef struct cvEMDNode* cvPEmdNode;
struct cvEMDNode
{
int pos[3]; // grid position
float d; // initial value
int u;
// tree maintainance
int iLevel; // level in the tree, 0 means root
cvPEmdNode pParent; // pointer to its parent
cvPEmdEdge pChild;
cvPEmdEdge pPEdge; // point to the edge coming out from its parent
};
struct cvEMDEdge
{
float flow; // initial value
int iDir; // 1:outward, 0:inward
// tree maintainance
cvPEmdNode pParent; // point to its parent
cvPEmdNode pChild; // the child node
cvPEmdEdge pNxt; // next child/edge
};
typedef std::vector<cvEMDNode> cvEMDNodeArray;
typedef std::vector<cvEMDEdge> cvEMDEdgeArray;
typedef std::vector<cvEMDNodeArray> cvEMDNodeArray2D;
typedef std::vector<cvEMDEdgeArray> cvEMDEdgeArray2D;
typedef std::vector<float> floatArray;
typedef std::vector<floatArray> floatArray2D;
/****************************************************************************************\
* EMDL1 Class *
\****************************************************************************************/
class EmdL1
{
public:
EmdL1()
{
m_pRoot = NULL;
binsDim1 = 0;
binsDim2 = 0;
binsDim3 = 0;
dimension = 0;
nMaxIt = 500;
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m_pLeave = 0;
m_iEnter = 0;
nNBV = 0;
m_nItr = 0;
m_iTo = 0;
m_iFrom = 0;
m_pEnter = 0;
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}
~EmdL1()
{
}
float getEMDL1(cv::Mat &sig1, cv::Mat &sig2);
void setMaxIteration(int _nMaxIt);
private:
//-- SubFunctions called in the EMD algorithm
bool initBaseTrees(int n1=0, int n2=0, int n3=0);
bool fillBaseTrees(float *H1, float *H2);
bool greedySolution();
bool greedySolution2();
bool greedySolution3();
void initBVTree();
void updateSubtree(cvPEmdNode pRoot);
bool isOptimal();
void findNewSolution();
void findLoopFromEnterBV();
float compuTotalFlow();
private:
int dimension;
int binsDim1, binsDim2, binsDim3; // the hitogram contains m_n1 rows and m_n2 columns
int nNBV; // number of Non-Basic Variables (NBV)
int nMaxIt;
cvEMDNodeArray2D m_Nodes; // all nodes
cvEMDEdgeArray2D m_EdgesRight; // all edges to right
cvEMDEdgeArray2D m_EdgesUp; // all edges to upward
std::vector<cvEMDNodeArray2D> m_3dNodes; // all nodes for 3D
std::vector<cvEMDEdgeArray2D> m_3dEdgesRight; // all edges to right, 3D
std::vector<cvEMDEdgeArray2D> m_3dEdgesUp; // all edges to upward, 3D
std::vector<cvEMDEdgeArray2D> m_3dEdgesDeep; // all edges to deep, 3D
std::vector<cvPEmdEdge> m_NBVEdges; // pointers to all NON-BV edges
std::vector<cvPEmdNode> m_auxQueue; // auxiliary node queue
cvPEmdNode m_pRoot; // root of the BV Tree
cvPEmdEdge m_pEnter; // Enter BV edge
int m_iEnter; // Enter BV edge, index in m_NBVEdges
cvPEmdEdge m_pLeave; // Leave BV edge
int m_nItr; // number of iteration
// auxiliary variables for searching a new loop
std::vector<cvPEmdEdge> m_fromLoop;
std::vector<cvPEmdEdge> m_toLoop;
int m_iFrom;
int m_iTo;
};