cvaux.h.svn-base

这是于老师移植到dsp的源码

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//                 License For Embedded Computer Vision Library
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// Copyright (c) 2008, EMCV Project,
// Copyright (c) 2000-2007, Intel Corporation,
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// Contributors:
//    * Shiqi Yu (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences)

#ifndef __CVAUX__H__
#define __CVAUX__H__

#include <cv.h>

#ifdef __cplusplus
extern "C" {
#endif

CVAPI(CvSeq*) cvSegmentImage( const CvArr* srcarr, CvArr* dstarr,
                                    double canny_threshold,
                                    double ffill_threshold,
                                    CvMemStorage* storage );

/****************************************************************************************\
*                                  Eigen objects                                         *
\****************************************************************************************/

typedef int (CV_CDECL * CvCallback)(int index, void* buffer, void* user_data);
typedef union
{
    CvCallback callback;
    void* data;
}
CvInput;

#define CV_EIGOBJ_NO_CALLBACK     0
#define CV_EIGOBJ_INPUT_CALLBACK  1
#define CV_EIGOBJ_OUTPUT_CALLBACK 2
#define CV_EIGOBJ_BOTH_CALLBACK   3

/* Calculates covariation matrix of a set of arrays */
CVAPI(void)  cvCalcCovarMatrixEx( int nObjects, void* input, int ioFlags,
                                  int ioBufSize, uchar* buffer, void* userData,
                                  IplImage* avg, float* covarMatrix );

/* Calculates eigen values and vectors of covariation matrix of a set of
   arrays */
CVAPI(void)  cvCalcEigenObjects( int nObjects, void* input, void* output,
                                 int ioFlags, int ioBufSize, void* userData,
                                 CvTermCriteria* calcLimit, IplImage* avg,
                                 float* eigVals );

/* Calculates dot product (obj - avg) * eigObj (i.e. projects image to eigen vector) */
CVAPI(double)  cvCalcDecompCoeff( IplImage* obj, IplImage* eigObj, IplImage* avg );

/* Projects image to eigen space (finds all decomposion coefficients */
CVAPI(void)  cvEigenDecomposite( IplImage* obj, int nEigObjs, void* eigInput,
                                 int ioFlags, void* userData, IplImage* avg,
                                 float* coeffs );

/* Projects original objects used to calculate eigen space basis to that space */
CVAPI(void)  cvEigenProjection( void* eigInput, int nEigObjs, int ioFlags,
                                void* userData, float* coeffs, IplImage* avg,
                                IplImage* proj );

/****************************************************************************************\
*                                       1D/2D HMM                                        *
\****************************************************************************************/

typedef struct CvImgObsInfo
{
    int obs_x;
    int obs_y;
    int obs_size;
    float* obs;//consequtive observations

    int* state;/* arr of pairs superstate/state to which observation belong */
    int* mix;  /* number of mixture to which observation belong */

}
CvImgObsInfo;/*struct for 1 image*/

typedef CvImgObsInfo Cv1DObsInfo;

typedef struct CvEHMMState
{
    int num_mix;        /*number of mixtures in this state*/
    float* mu;          /*mean vectors corresponding to each mixture*/
    float* inv_var;     /* square root of inversed variances corresp. to each mixture*/
    float* log_var_val; /* sum of 0.5 (LN2PI + ln(variance[i]) ) for i=1,n */
    float* weight;      /*array of mixture weights. Summ of all weights in state is 1. */

}
CvEHMMState;

typedef struct CvEHMM
{
    int level; /* 0 - lowest(i.e its states are real states), ..... */
    int num_states; /* number of HMM states */
    float*  transP;/*transition probab. matrices for states */
    float** obsProb; /* if level == 0 - array of brob matrices corresponding to hmm
                        if level == 1 - martix of matrices */
    union
    {
        CvEHMMState* state; /* if level == 0 points to real states array,
                               if not - points to embedded hmms */
        struct CvEHMM* ehmm; /* pointer to an embedded model or NULL, if it is a leaf */
    } u;

}
CvEHMM;

/*CVAPI(int)  icvCreate1DHMM( CvEHMM** this_hmm,
                                   int state_number, int* num_mix, int obs_size );

CVAPI(int)  icvRelease1DHMM( CvEHMM** phmm );

CVAPI(int)  icvUniform1DSegm( Cv1DObsInfo* obs_info, CvEHMM* hmm );

CVAPI(int)  icvInit1DMixSegm( Cv1DObsInfo** obs_info_array, int num_img, CvEHMM* hmm);

CVAPI(int)  icvEstimate1DHMMStateParams( CvImgObsInfo** obs_info_array, int num_img, CvEHMM* hmm);

CVAPI(int)  icvEstimate1DObsProb( CvImgObsInfo* obs_info, CvEHMM* hmm );

CVAPI(int)  icvEstimate1DTransProb( Cv1DObsInfo** obs_info_array,
                                           int num_seq,
                                           CvEHMM* hmm );

CVAPI(float)  icvViterbi( Cv1DObsInfo* obs_info, CvEHMM* hmm);

CVAPI(int)  icv1DMixSegmL2( CvImgObsInfo** obs_info_array, int num_img, CvEHMM* hmm );*/

/*********************************** Embedded HMMs *************************************/

/* Creates 2D HMM */
CVAPI(CvEHMM*)  cvCreate2DHMM( int* stateNumber, int* numMix, int obsSize );

/* Releases HMM */
CVAPI(void)  cvRelease2DHMM( CvEHMM** hmm );

#define CV_COUNT_OBS(roi, win, delta, numObs )                                       \
{                                                                                    \
   (numObs)->width  =((roi)->width  -(win)->width  +(delta)->width)/(delta)->width;  \
   (numObs)->height =((roi)->height -(win)->height +(delta)->height)/(delta)->height;\
}

/* Creates storage for observation vectors */
CVAPI(CvImgObsInfo*)  cvCreateObsInfo( CvSize numObs, int obsSize );

/* Releases storage for observation vectors */
CVAPI(void)  cvReleaseObsInfo( CvImgObsInfo** obs_info );


/* The function takes an image on input and and returns the sequnce of observations
   to be used with an embedded HMM; Each observation is top-left block of DCT
   coefficient matrix */
CVAPI(void)  cvImgToObs_DCT( const CvArr* arr, float* obs, CvSize dctSize,
                             CvSize obsSize, CvSize delta );


/* Uniformly segments all observation vectors extracted from image */
CVAPI(void)  cvUniformImgSegm( CvImgObsInfo* obs_info, CvEHMM* ehmm );

/* Does mixture segmentation of the states of embedded HMM */
CVAPI(void)  cvInitMixSegm( CvImgObsInfo** obs_info_array,
                            int num_img, CvEHMM* hmm );

/* Function calculates means, variances, weights of every Gaussian mixture
   of every low-level state of embedded HMM */
CVAPI(void)  cvEstimateHMMStateParams( CvImgObsInfo** obs_info_array,
                                       int num_img, CvEHMM* hmm );

/* Function computes transition probability matrices of embedded HMM
   given observations segmentation */
CVAPI(void)  cvEstimateTransProb( CvImgObsInfo** obs_info_array,
                                  int num_img, CvEHMM* hmm );

/* Function computes probabilities of appearing observations at any state
   (i.e. computes P(obs|state) for every pair(obs,state)) */
CVAPI(void)  cvEstimateObsProb( CvImgObsInfo* obs_info,
                                CvEHMM* hmm );

/* Runs Viterbi algorithm for embedded HMM */
CVAPI(float)  cvEViterbi( CvImgObsInfo* obs_info, CvEHMM* hmm );


/* Function clusters observation vectors from several images
   given observations segmentation.
   Euclidean distance used for clustering vectors.
   Centers of clusters are given means of every mixture */
CVAPI(void)  cvMixSegmL2( CvImgObsInfo** obs_info_array,
                          int num_img, CvEHMM* hmm );

/****************************************************************************************\
*               A few functions from old stereo gesture recognition demosions            *
\****************************************************************************************/

/* Creates hand mask image given several points on the hand */
CVAPI(void)  cvCreateHandMask( CvSeq* hand_points,
                                   IplImage *img_mask, CvRect *roi);

/* Finds hand region in range image data */
CVAPI(void)  cvFindHandRegion (CvPoint3D32f* points, int count,
                                CvSeq* indexs,
                                float* line, CvSize2D32f size, int flag,
                                CvPoint3D32f* center,
                                CvMemStorage* storage, CvSeq **numbers);

/* Finds hand region in range image data (advanced version) */
CVAPI(void)  cvFindHandRegionA( CvPoint3D32f* points, int count,
                                CvSeq* indexs,
                                float* line, CvSize2D32f size, int jc,
                                CvPoint3D32f* center,
                                CvMemStorage* storage, CvSeq **numbers);

/****************************************************************************************\
*                           Additional operations on Subdivisions                        *
\****************************************************************************************/

// paints voronoi diagram: just demo function
CVAPI(void)  icvDrawMosaic( CvSubdiv2D* subdiv, IplImage* src, IplImage* dst );

// checks planar subdivision for correctness. It is not an absolute check,
// but it verifies some relations between quad-edges
CVAPI(int)   icvSubdiv2DCheck( CvSubdiv2D* subdiv );

// returns squared distance between two 2D points with floating-point coordinates.
CV_INLINE double icvSqDist2D32f( CvPoint2D32f pt1, CvPoint2D32f pt2 )
{
    double dx = pt1.x - pt2.x;
    double dy = pt1.y - pt2.y;

    return dx*dx + dy*dy;
}


/****************************************************************************************\
*                           More operations on sequences                                 *
\****************************************************************************************/

/*****************************************************************************************/

#define CV_CURRENT_INT( reader ) (*((int *)(reader).ptr))
#define CV_PREV_INT( reader ) (*((int *)(reader).prev_elem))

#define  CV_GRAPH_WEIGHTED_VERTEX_FIELDS() CV_GRAPH_VERTEX_FIELDS()\
    float weight;

#define  CV_GRAPH_WEIGHTED_EDGE_FIELDS() CV_GRAPH_EDGE_FIELDS()

typedef struct CvGraphWeightedVtx
{