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cvnorm.cpp

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#include "_cv.h"
#include <float.h>

/****************************************************************************************\
*                                  N o r m                                               *
\****************************************************************************************/

////////////////////////////////////// Norm Declaration /////////////////////////////////

#define IPCV_DEF_NORM_CN( flavor, srctype )                                             \
IPCVAPI( CvStatus, icvNorm_Inf_##flavor##_CnCR,(const srctype* img, int imgstep,        \
                                                CvSize size, int cn,                    \
                                                int coi, double* norm ))                \
IPCVAPI( CvStatus, icvNorm_L1_##flavor##_CnCR,( const srctype* img, int imgstep,        \
                                                 CvSize size, int cn,                   \
                                                 int coi, double* norm ))               \
IPCVAPI( CvStatus, icvNorm_L2_##flavor##_CnCR,( const srctype* img, int imgstep,        \
                                                 CvSize size, int cn,                   \
                                                 int coi, double* norm ))               \
IPCVAPI( CvStatus, icvNormDiff_Inf_##flavor##_CnCR,(const srctype* img1, int imgstep1,  \
                                                    const srctype* img2, int imgstep2,  \
                                                    CvSize size, int cn,                \
                                                    int coi, double* norm ))            \
IPCVAPI( CvStatus, icvNormDiff_L1_##flavor##_CnCR,( const srctype* img1, int imgstep1,  \
                                                    const srctype* img2, int imgstep2,  \
                                                    CvSize size, int cn,                \
                                                    int coi, double* norm ))            \
IPCVAPI( CvStatus, icvNormDiff_L2_##flavor##_CnCR,( const srctype* img1, int imgstep1,  \
                                                    const srctype* img2, int imgstep2,  \
                                                    CvSize size, int cn,                \
                                                    int coi, double* norm ))            \
IPCVAPI( CvStatus, icvNorm_Inf_##flavor##_CnCMR,( const srctype* img, int imgstep,      \
                                                  const uchar* mask, int maskstep,      \
                                                  CvSize size, int cn,                  \
                                                  int coi, double* norm ))              \
IPCVAPI( CvStatus, icvNorm_L1_##flavor##_CnCMR,( const srctype* img, int imgstep,       \
                                                 const uchar* mask, int maskstep,       \
                                                 CvSize size, int cn,                   \
                                                 int coi, double* norm ))               \
IPCVAPI( CvStatus, icvNorm_L2_##flavor##_CnCMR,( const srctype* img, int imgstep,       \
                                                 const uchar* mask, int maskstep,       \
                                                 CvSize size, int cn,                   \
                                                 int coi, double* norm ))               \
IPCVAPI( CvStatus, icvNormDiff_Inf_##flavor##_CnCMR,(const srctype* img1, int imgstep1, \
                                                    const srctype* img2, int imgstep2,  \
                                                    const uchar* mask, int maskstep,    \
                                                    CvSize size, int cn,                \
                                                    int coi, double* norm ))            \
IPCVAPI( CvStatus, icvNormDiff_L1_##flavor##_CnCMR,( const srctype* img1, int imgstep1, \
                                                    const srctype* img2, int imgstep2,  \
                                                    const uchar* mask, int maskstep,    \
                                                    CvSize size, int cn,                \
                                                    int coi, double* norm ))            \
IPCVAPI( CvStatus, icvNormDiff_L2_##flavor##_CnCMR,( const srctype* img1, int imgstep1, \
                                                    const srctype* img2, int imgstep2,  \
                                                    const uchar* mask, int maskstep,    \
                                                    CvSize size, int cn,                \
                                                    int coi, double* norm ))

IPCV_DEF_NORM_CN( 8u, uchar )
IPCV_DEF_NORM_CN( 8s, char )
IPCV_DEF_NORM_CN( 16s, short )
IPCV_DEF_NORM_CN( 32s, int )
IPCV_DEF_NORM_CN( 32f, float )
IPCV_DEF_NORM_CN( 64f, double )

#undef IPCV_DEF_NORM_CN


#define ICV_DEF_NORM_CASE( _op_, _update_op_, temptype, len, cn ) \
{                                                          \
    for( x = 0; x <= (len) - 4; x += 4 )                   \
    {                                                      \
        temptype t0 = (src)[x*(cn)];                       \
        temptype t1 = (src)[(x+1)*(cn)];                   \
                                                           \
        t0 = (temptype)_op_(t0);                           \
        t1 = (temptype)_op_(t1);                           \
                                                           \
        norm = _update_op_( norm, t0 );                    \
        norm = _update_op_( norm, t1 );                    \
                                                           \
        t0 = (src)[(x+2)*(cn)];                            \
        t1 = (src)[(x+3)*(cn)];                            \
                                                           \
        t0 = (temptype)_op_(t0);                           \
        t1 = (temptype)_op_(t1);                           \
                                                           \
        norm = _update_op_( norm, t0 );                    \
        norm = _update_op_( norm, t1 );                    \
    }                                                      \
                                                           \
    for( ; x < (len); x++ )                                \
    {                                                      \
        temptype t0 = (src)[x*(cn)];                       \
        t0 = (temptype)_op_(t0);                           \
        norm = _update_op_( norm, t0 );                    \
    }                                                      \
}


#define ICV_DEF_NORM_DIFF_CASE( _op_, _diff_op_, _update_op_,       \
                                temptype, len, cn )                 \
{                                                                   \
    for( x = 0; x <= (len) - 4; x += 4 )                            \
    {                                                               \
        temptype t0 = (src1)[x*(cn)] - (src2)[x*(cn)];              \
        temptype t1 = (src1)[(x+1)*(cn)] - (src2)[(x+1)*(cn)];      \
                                                                    \
        t0 = (temptype)_diff_op_(t0);                               \
        t1 = (temptype)_diff_op_(t1);                               \
                                                                    \
        norm = _update_op_( norm, t0 );                             \
        norm = _update_op_( norm, t1 );                             \
                                                                    \
        t0 = (src1)[(x+2)*(cn)] - (src2)[(x+2)*(cn)];               \
        t1 = (src1)[(x+3)*(cn)] - (src2)[(x+3)*(cn)];               \
                                                                    \
        t0 = (temptype)_diff_op_(t0);                               \
        t1 = (temptype)_diff_op_(t1);                               \
                                                                    \
        norm = _update_op_( norm, t0 );                             \
        norm = _update_op_( norm, t1 );                             \
    }                                                               \
                                                                    \
    for( ; x < (len); x++ )                                         \
    {                                                               \
        temptype t0 = (src1)[x*(cn)] - (src2)[x*(cn)];              \
        t0 = (temptype)_diff_op_(t0);                               \
        norm = _update_op_( norm, t0 );                             \
    }                                                               \
}



#define ICV_DEF_NORM_REL_CASE( _op_, _diff_op_, _update_op_,        \
                               temptype, len, cn)                   \
{                                                                   \
    for( x = 0; x < (len); x++ )                                    \
    {                                                               \
        temptype t0 = (src2)[x*(cn)];                               \
        temptype t1 = (src1)[x*(cn)] - t0;                          \
                                                                    \
        t0 = (temptype)_op_(t0);                                    \
        t1 = (temptype)_diff_op_(t1);                               \
                                                                    \
        norm = _update_op_( norm, t0 );                             \
        norm_diff = _update_op_( norm, t1 );                        \
    }                                                               \
}



#define  CV_NORM_ENTRY( normtype )  \
    int  x;                         \
    normtype norm = 0

#define  CV_NORM_REL_ENTRY( normtype )  \
    int  x;                             \
    normtype norm = 0, norm_diff = 0

#define  CV_NORM_EXIT( cn )  *_norm = (double)norm

#define  CV_NORM_REL_EXIT( cn )  \
    *_norm = ((double)norm_diff)/((double)norm + DBL_EPSILON)

#define  CV_NORM_L2_EXIT( cn )  *_norm = sqrt((double)norm)

#define  CV_NORM_REL_L2_EXIT( cn )  \
    *_norm = sqrt((double)norm_diff)/sqrt((double)norm + DBL_EPSILON)



#define  ICV_DEF_NORM_FUNC_2D( _op_, _update_op_, _entry_, _case_, _exit_,\
                               name, srctype, normtype, temptype )  \
IPCVAPI_IMPL( CvStatus, name, ( const srctype* src, int step,       \
                                CvSize size, double* _norm ))       \
{                                                                   \
    _entry_( normtype );                                            \
                                                                    \
    for( ; size.height--; (char*&)src += step )                     \
    {                                                               \
        _case_( _op_, _update_op_, temptype, size.width, 1 );       \
    }                                                               \
                                                                    \
    _exit_(1);                                                      \
                                                                    \
    return CV_OK;                                                   \
}


#define  ICV_DEF_NORM_FUNC_2D_COI( _op_, _update_op_, _entry_, _case_, _exit_,\
                                   name, srctype, normtype, temptype )\
IPCVAPI_IMPL( CvStatus, name, ( const srctype* src, int step,       \
                      CvSize size, int cn, int coi, double* _norm ))\
{                                                                   \
    _entry_( normtype );                                            \
                                                                    \
    src += coi - 1;                                                 \
    for( ; size.height--; (char*&)src += step )                     \
    {                                                               \
        _case_( _op_, _update_op_, temptype, size.width, cn );      \
    }                                                               \
                                                                    \
    _exit_(1);                                                      \
                                                                    \
    return CV_OK;                                                   \
}



#define  ICV_DEF_NORM_DIFF_FUNC_2D( _op_, _diff_op_, _update_op_,       \
                                    _entry_, _case_, _exit_,            \
                                    name, srctype, normtype, temptype ) \
IPCVAPI_IMPL( CvStatus, name,( const srctype* src1, int step1,          \
                               const srctype* src2, int step2,          \
                               CvSize size, double* _norm ))            \
{                                                                       \
    _entry_( normtype );                                                \
                                                                        \
    for( ; size.height--; (char*&)src1 += step1,                        \
                          (char*&)src2 += step2 )                       \
    {                                                                   \
        _case_( _op_, _diff_op_, _update_op_, temptype, size.width, 1 );\
    }                                                                   \
                                                                        \
    _exit_(1);                                                          \
                                                                        \
    return CV_OK;                                                       \
}


#define  ICV_DEF_NORM_DIFF_FUNC_2D_COI( _op_, _diff_op_, _update_op_,   \
                                        _entry_, _case_, _exit_, name,  \
                                        srctype, normtype, temptype )   \
IPCVAPI_IMPL( CvStatus, name,( const srctype* src1, int step1,          \
                       const srctype* src2, int step2,                  \
                       CvSize size, int cn, int coi, double* _norm ))   \
{                                                                       \
    _entry_( normtype );                                                \
                                                                        \
    src1 += coi - 1;                                                    \
    src2 += coi - 1;                                                    \
    for( ; size.height--; (char*&)src1 += step1,                        \
                          (char*&)src2 += step2 )                       \
    {                                                                   \
        _case_( _op_, _diff_op_, _update_op_, temptype, size.width, cn );\
    }                                                                   \
                                                                        \
    _exit_(1);                                                          \
                                                                        \
    return CV_OK;                                                       \
}



#define ICV_DEF_NORM_FUNC_ALL( _abs_macro_, _abs_diff_macro_, flavor, srctype,          \
                               c_normtype, l_normtype, temptype )                       \
                                                                                        \
ICV_DEF_NORM_FUNC_2D( _abs_macro_, MAX,                                                 \
                      CV_NORM_ENTRY, ICV_DEF_NORM_CASE, CV_NORM_EXIT,                   \
                      icvNorm_Inf_##flavor##_C1R, srctype, c_normtype, temptype )       \
ICV_DEF_NORM_FUNC_2D( _abs_macro_, CV_ADD,                                              \
                      CV_NORM_ENTRY, ICV_DEF_NORM_CASE, CV_NORM_EXIT,                   \
                      icvNorm_L1_##flavor##_C1R, srctype, l_normtype, temptype )        \
ICV_DEF_NORM_FUNC_2D( CV_SQR, CV_ADD,                                                   \
                      CV_NORM_ENTRY, ICV_DEF_NORM_CASE, CV_NORM_L2_EXIT,                \
                      icvNorm_L2_##flavor##_C1R, srctype, l_normtype, temptype )        \
                                                                                        \
ICV_DEF_NORM_DIFF_FUNC_2D( _abs_macro_, _abs_diff_macro_, MAX,                          \
                        CV_NORM_ENTRY, ICV_DEF_NORM_DIFF_CASE, CV_NORM_EXIT,            \
                        icvNormDiff_Inf_##flavor##_C1R, srctype, c_normtype, temptype ) \
ICV_DEF_NORM_DIFF_FUNC_2D( _abs_macro_, _abs_diff_macro_, CV_ADD,                       \
                        CV_NORM_ENTRY, ICV_DEF_NORM_DIFF_CASE, CV_NORM_EXIT,            \
                        icvNormDiff_L1_##flavor##_C1R, srctype, l_normtype, temptype )  \
ICV_DEF_NORM_DIFF_FUNC_2D( CV_SQR, CV_SQR, CV_ADD,                                      \
                          CV_NORM_ENTRY, ICV_DEF_NORM_DIFF_CASE, CV_NORM_L2_EXIT,       \
                          icvNormDiff_L2_##flavor##_C1R, srctype, l_normtype, temptype) \
                                                                                        \
ICV_DEF_NORM_FUNC_2D_COI( _abs_macro_, MAX,                                             \
                         CV_NORM_ENTRY, ICV_DEF_NORM_CASE, CV_NORM_EXIT,                \
                         icvNorm_Inf_##flavor##_CnCR, srctype, c_normtype, temptype )   \
ICV_DEF_NORM_FUNC_2D_COI( _abs_macro_, CV_ADD,                                          \
                          CV_NORM_ENTRY, ICV_DEF_NORM_CASE, CV_NORM_EXIT,               \
                          icvNorm_L1_##flavor##_CnCR, srctype, l_normtype, temptype )   \
ICV_DEF_NORM_FUNC_2D_COI( CV_SQR, CV_ADD,                                               \
                          CV_NORM_ENTRY, ICV_DEF_NORM_CASE, CV_NORM_L2_EXIT,            \
                          icvNorm_L2_##flavor##_CnCR, srctype, l_normtype, temptype )   \
                                                                                        \
ICV_DEF_NORM_DIFF_FUNC_2D_COI( _abs_macro_, _abs_diff_macro_, MAX,                      \
                          CV_NORM_ENTRY, ICV_DEF_NORM_DIFF_CASE, CV_NORM_EXIT,          \
                          icvNormDiff_Inf_##flavor##_CnCR, srctype, c_normtype, temptype)\
ICV_DEF_NORM_DIFF_FUNC_2D_COI( _abs_macro_, _abs_diff_macro_, CV_ADD,                   \
                          CV_NORM_ENTRY, ICV_DEF_NORM_DIFF_CASE, CV_NORM_EXIT,          \
                          icvNormDiff_L1_##flavor##_CnCR,                               \
                          srctype, l_normtype, temptype )                               \
ICV_DEF_NORM_DIFF_FUNC_2D_COI( CV_SQR, CV_SQR, CV_ADD,                                  \
                          CV_NORM_ENTRY, ICV_DEF_NORM_DIFF_CASE, CV_NORM_L2_EXIT,       \
                          icvNormDiff_L2_##flavor##_CnCR,                               \
                          srctype, l_normtype, temptype )


ICV_DEF_NORM_FUNC_ALL( CV_NOP, CV_IABS, 8u, uchar, int, int64, int )
ICV_DEF_NORM_FUNC_ALL( CV_IABS, CV_IABS, 8s, char, int, int64, int )
ICV_DEF_NORM_FUNC_ALL( CV_IABS, CV_IABS, 16s, short, int, int64, int )
ICV_DEF_NORM_FUNC_ALL( fabs, fabs, 32s, int, double, double, double )
ICV_DEF_NORM_FUNC_ALL( fabs, fabs, 32f, float, double, double, double )
ICV_DEF_NORM_FUNC_ALL( fabs, fabs, 64f, double, double, double, double )


#define ICV_DEF_INIT_NORM_TAB_2D( FUNCNAME, FLAG )              \
static void icvInit##FUNCNAME##FLAG##Table( CvFuncTable* tab )  \
{                                                               \
    tab->fn_2d[CV_8U] = (void*)icv##FUNCNAME##_8u_##FLAG;       \
    tab->fn_2d[CV_8S] = (void*)icv##FUNCNAME##_8s_##FLAG;       \
    tab->fn_2d[CV_16S] = (void*)icv##FUNCNAME##_16s_##FLAG;     \
    tab->fn_2d[CV_32S] = (void*)icv##FUNCNAME##_32s_##FLAG;     \
    tab->fn_2d[CV_32F] = (void*)icv##FUNCNAME##_32f_##FLAG;     \
    tab->fn_2d[CV_64F] = (void*)icv##FUNCNAME##_64f_##FLAG;     \
}

ICV_DEF_INIT_NORM_TAB_2D( Norm_Inf, C1R )
ICV_DEF_INIT_NORM_TAB_2D( Norm_L1, C1R )
ICV_DEF_INIT_NORM_TAB_2D( Norm_L2, C1R )
ICV_DEF_INIT_NORM_TAB_2D( NormDiff_Inf, C1R )
ICV_DEF_INIT_NORM_TAB_2D( NormDiff_L1, C1R )
ICV_DEF_INIT_NORM_TAB_2D( NormDiff_L2, C1R )

ICV_DEF_INIT_NORM_TAB_2D( Norm_Inf, CnCR )
ICV_DEF_INIT_NORM_TAB_2D( Norm_L1, CnCR )
ICV_DEF_INIT_NORM_TAB_2D( Norm_L2, CnCR )
ICV_DEF_INIT_NORM_TAB_2D( NormDiff_Inf, CnCR )
ICV_DEF_INIT_NORM_TAB_2D( NormDiff_L1, CnCR )
ICV_DEF_INIT_NORM_TAB_2D( NormDiff_L2, CnCR )


/****************************************************************************************\
*                             N o r m   with    M A S K                                  *
\****************************************************************************************/


#define ICV_DEF_NORM_MASK_CASE( _mask_op_, _op_, _update_op_,\
                                temptype, len, cn )        \
{                                                          \
    for( x = 0; x <= (len) - 4; x += 4 )                   \
    {                                                      \
        temptype t0 = _mask_op_(mask[x],(src)[x*(cn)]);    \
        temptype t1 = _mask_op_(mask[x+1],(src)[(x+1)*(cn)]);\
                                                           \
        t0 = (temptype)_op_(t0);                           \
        t1 = (temptype)_op_(t1);                           \
                                                           \
        norm = _update_op_( norm, t0 );                    \
        norm = _update_op_( norm, t1 );                    \
                                                           \
        t0 = _mask_op_(mask[x+2],(src)[(x+2)*(cn)]);       \
        t1 = _mask_op_(mask[x+3],(src)[(x+3)*(cn)]);       \
                                                           \
        t0 = (temptype)_op_(t0);                           \
        t1 = (temptype)_op_(t1);                           \
                                                           \
        norm = _update_op_( norm, t0 );                    \
        norm = _update_op_( norm, t1 );                    \
    }                                                      \
                                                           \
    for( ; x < (len); x++ )                                \
    {                                                      \
        temptype t0 = _mask_op_(mask[x],(src)[x*(cn)]);    \
        t0 = (temptype)_op_(t0);                           \
        norm = _update_op_( norm, t0 );                    \
    }                                                      \
}


#define ICV_DEF_NORM_DIFF_MASK_CASE( _mask_op_, _op_, _diff_op_,     \
                                     _update_op_, temptype, len, cn )\
{                                                                   \
    for( x = 0; x <= (len) - 4; x += 4 )                            \
    {                                                               \
        temptype t0 = _mask_op_(mask[x],(src1)[x*(cn)] - (src2)[x*(cn)]);\
        temptype t1 = _mask_op_(mask[x+1],(src1)[(x+1)*(cn)] - (src2)[(x+1)*(cn)]);\
                                                                    \
        t0 = (temptype)_diff_op_(t0);                               \
        t1 = (temptype)_diff_op_(t1);                               \
                                                                    \
        norm = _update_op_( norm, t0 );                             \
        norm = _update_op_( norm, t1 );                             \
                                                                    \
        t0 = _mask_op_(mask[x+2],(src1)[(x+2)*(cn)] - (src2)[(x+2)*(cn)]); \
        t1 = _mask_op_(mask[x+3],(src1)[(x+3)*(cn)] - (src2)[(x+3)*(cn)]); \
                                                                    \
        t0 = (temptype)_diff_op_(t0);                               \
        t1 = (temptype)_diff_op_(t1);                               \
                                                                    \
        norm = _update_op_( norm, t0 );                             \
        norm = _update_op_( norm, t1 );                             \
    }                                                               \
                                                                    \
    for( ; x < (len); x++ )                                         \
    {                                                               \
        temptype t0 = _mask_op_(mask[x],(src1)[x*(cn)] - (src2)[x*(cn)]);\
        t0 = (temptype)_diff_op_(t0);                               \
        norm = _update_op_( norm, t0 );                             \
    }                                                               \
}



#define  CV_NORM_MASK_ENTRY_FLT( normtype )  \
    int  x;                                  \
    float maskTab[] = { 0.f, 1.f };          \
    normtype norm = 0



#define  ICV_DEF_NORM_MASK_FUNC_2D( _mask_op_, _op_, _update_op_,   \
                                    _entry_, _case_, _exit_,        \
                                    name, srctype, normtype, temptype )  \
IPCVAPI_IMPL( CvStatus, name, ( const srctype* src, int step,       \
                       const uchar* mask, int maskStep,             \
                       CvSize size, double* _norm ))                \
{                                                                   \
    _entry_( normtype );                                            \
                                                                    \
    for( ; size.height--; (char*&)src += step, mask += maskStep )   \
    {                                                               \
        _case_( _mask_op_, _op_, _update_op_,                       \
                temptype, size.width, 1 );                          \
    }                                                               \
                                                                    \
    _exit_(1);                                                      \
                                                                    \
    return CV_OK;                                                   \
}


#define  ICV_DEF_NORM_MASK_FUNC_2D_COI( _mask_op_, _op_, _update_op_,\
                                        _entry_, _case_, _exit_,    \
                                        name, srctype, normtype,    \
                                        temptype )                  \
IPCVAPI_IMPL( CvStatus, name, ( const srctype* src, int step,       \
                       const uchar* mask, int maskStep,             \
                       CvSize size, int cn, int coi, double* _norm))\
{                                                                   \
    _entry_( normtype );                                            \
                                                                    \
    src += coi - 1;                                                 \
    for( ; size.height--; (char*&)src += step, mask += maskStep )   \
    {                                                               \
        _case_( _mask_op_, _op_, _update_op_,                       \
                temptype, size.width, cn );                         \
    }                                                               \
                                                                    \
    _exit_(1);                                                      \
                                                                    \
    return CV_OK;                                                   \
}



#define  ICV_DEF_NORM_DIFF_MASK_FUNC_2D( _mask_op_, _op_, _diff_op_, _update_op_,   \
                                         _entry_, _case_, _exit_, name,             \
                                         srctype, normtype, temptype )              \
IPCVAPI_IMPL( CvStatus, name, ( const srctype* src1, int step1,                     \
                       const srctype* src2, int step2,                              \
                       const uchar* mask, int maskStep,                             \
                       CvSize size, double* _norm ))                                \
{                                                                                   \
    _entry_( normtype );                                                            \
                                                                                    \
    for( ; size.height--; (char*&)src1 += step1, (char*&)src2 += step2, mask += maskStep )\
    {                                                                               \
        _case_( _mask_op_, _op_, _diff_op_, _update_op_, temptype, size.width, 1 ); \
    }                                                                               \
                                                                                    \
    _exit_(1);                                                                      \
                                                                                    \
    return CV_OK;                                                                   \
}


#define  ICV_DEF_NORM_DIFF_MASK_FUNC_2D_COI(_mask_op_, _op_, _diff_op_, _update_op_,\
                                            _entry_, _case_, _exit_, name,          \
                                             srctype, normtype, temptype )          \
IPCVAPI_IMPL( CvStatus,  name, ( const srctype* src1, int step1,                    \
                                 const srctype* src2, int step2,                    \
                                 const uchar* mask, int maskStep,                   \
                                 CvSize size, int cn, int coi, double* _norm ))     \
{                                                                                   \
    _entry_( normtype );                                                            \
                                                                                    \
    src1 += coi - 1;                                                                \
    src2 += coi - 1;                                                                \
    for( ; size.height--; (char*&)src1 += step1, (char*&)src2 += step2, mask += maskStep )\
    {                                                                               \
        _case_( _mask_op_, _op_, _diff_op_, _update_op_, temptype, size.width, cn );\
    }                                                                               \
                                                                                    \
    _exit_(1);                                                                      \
                                                                                    \
    return CV_OK;                                                                   \
}


#define ICV_DEF_NORM_MASK_FUNC_ALL( _mask_op_, _abs_macro_, _abs_diff_macro_, _entry_,      \
                                    flavor, srctype, c_normtype, l_normtype, temptype )     \
                                                                                            \
ICV_DEF_NORM_MASK_FUNC_2D( _mask_op_, _abs_macro_, MAX,                                     \
                      _entry_, ICV_DEF_NORM_MASK_CASE, CV_NORM_EXIT,                        \
                      icvNorm_Inf_##flavor##_C1MR, srctype, c_normtype, temptype )          \
ICV_DEF_NORM_MASK_FUNC_2D( _mask_op_, _abs_macro_, CV_ADD,                                  \
                      _entry_, ICV_DEF_NORM_MASK_CASE, CV_NORM_EXIT,                        \
                      icvNorm_L1_##flavor##_C1MR, srctype, l_normtype, temptype )           \
ICV_DEF_NORM_MASK_FUNC_2D( _mask_op_, CV_SQR, CV_ADD,                                       \
                      _entry_, ICV_DEF_NORM_MASK_CASE, CV_NORM_L2_EXIT,                     \
                      icvNorm_L2_##flavor##_C1MR, srctype, l_normtype, temptype )           \
                                                                                            \
ICV_DEF_NORM_DIFF_MASK_FUNC_2D( _mask_op_, _abs_macro_, _abs_diff_macro_, MAX,              \
                        _entry_, ICV_DEF_NORM_DIFF_MASK_CASE, CV_NORM_EXIT,                 \
                        icvNormDiff_Inf_##flavor##_C1MR, srctype, c_normtype, temptype )    \
ICV_DEF_NORM_DIFF_MASK_FUNC_2D( _mask_op_, _abs_macro_, _abs_diff_macro_, CV_ADD,           \
                        _entry_, ICV_DEF_NORM_DIFF_MASK_CASE, CV_NORM_EXIT,                 \
                        icvNormDiff_L1_##flavor##_C1MR, srctype, l_normtype, temptype )     \
ICV_DEF_NORM_DIFF_MASK_FUNC_2D( _mask_op_, CV_SQR, CV_SQR, CV_ADD,                          \
                          _entry_, ICV_DEF_NORM_DIFF_MASK_CASE, CV_NORM_L2_EXIT,            \
                          icvNormDiff_L2_##flavor##_C1MR, srctype, l_normtype, temptype)    \
                                                                                            \
ICV_DEF_NORM_MASK_FUNC_2D_COI( _mask_op_, _abs_macro_, MAX,                                 \
                         _entry_, ICV_DEF_NORM_MASK_CASE, CV_NORM_EXIT,                     \
                         icvNorm_Inf_##flavor##_CnCMR, srctype, c_normtype, temptype )      \
ICV_DEF_NORM_MASK_FUNC_2D_COI( _mask_op_, _abs_macro_, CV_ADD,                              \
                          _entry_, ICV_DEF_NORM_MASK_CASE, CV_NORM_EXIT,                    \
                          icvNorm_L1_##flavor##_CnCMR, srctype, l_normtype, temptype )      \
ICV_DEF_NORM_MASK_FUNC_2D_COI( _mask_op_, CV_SQR, CV_ADD,                                   \
                          _entry_, ICV_DEF_NORM_MASK_CASE, CV_NORM_L2_EXIT,                 \
                          icvNorm_L2_##flavor##_CnCMR, srctype, l_normtype, temptype )      \
                                                                                            \
ICV_DEF_NORM_DIFF_MASK_FUNC_2D_COI( _mask_op_, _abs_macro_, _abs_diff_macro_, MAX,          \
                          _entry_, ICV_DEF_NORM_DIFF_MASK_CASE, CV_NORM_EXIT,               \
                          icvNormDiff_Inf_##flavor##_CnCMR, srctype, c_normtype, temptype ) \
ICV_DEF_NORM_DIFF_MASK_FUNC_2D_COI( _mask_op_, _abs_macro_, _abs_diff_macro_, CV_ADD,       \
                          _entry_, ICV_DEF_NORM_DIFF_MASK_CASE, CV_NORM_EXIT,               \
                          icvNormDiff_L1_##flavor##_CnCMR,                                  \
                          srctype, l_normtype, temptype )                                   \
ICV_DEF_NORM_DIFF_MASK_FUNC_2D_COI( _mask_op_, CV_SQR, CV_SQR, CV_ADD,                      \
                          _entry_, ICV_DEF_NORM_DIFF_MASK_CASE, CV_NORM_L2_EXIT,            \
                          icvNormDiff_L2_##flavor##_CnCMR,                                  \
                          srctype, l_normtype, temptype )


ICV_DEF_NORM_MASK_FUNC_ALL( CV_ANDMASK, CV_NOP, CV_IABS, CV_NORM_ENTRY,
                            8u, uchar, int, int64, int )
ICV_DEF_NORM_MASK_FUNC_ALL( CV_ANDMASK, CV_IABS, CV_IABS, CV_NORM_ENTRY,
                            8s, char, int, int64, int )
ICV_DEF_NORM_MASK_FUNC_ALL( CV_ANDMASK, CV_IABS, CV_IABS, CV_NORM_ENTRY,
                            16s, short, int, int64, int )
ICV_DEF_NORM_MASK_FUNC_ALL( CV_MULMASK, fabs, fabs, CV_NORM_MASK_ENTRY_FLT,
                            32s, int, double, double, double )
ICV_DEF_NORM_MASK_FUNC_ALL( CV_MULMASK, fabs, fabs, CV_NORM_MASK_ENTRY_FLT,
                            32f, float, double, double, double )
ICV_DEF_NORM_MASK_FUNC_ALL( CV_MULMASK, fabs, fabs, CV_NORM_MASK_ENTRY_FLT,
                            64f, double, double, double, double )


ICV_DEF_INIT_NORM_TAB_2D( Norm_Inf, C1MR )
ICV_DEF_INIT_NORM_TAB_2D( Norm_L1, C1MR )
ICV_DEF_INIT_NORM_TAB_2D( Norm_L2, C1MR )
ICV_DEF_INIT_NORM_TAB_2D( NormDiff_Inf, C1MR )
ICV_DEF_INIT_NORM_TAB_2D( NormDiff_L1, C1MR )
ICV_DEF_INIT_NORM_TAB_2D( NormDiff_L2, C1MR )

ICV_DEF_INIT_NORM_TAB_2D( Norm_Inf, CnCMR )
ICV_DEF_INIT_NORM_TAB_2D( Norm_L1, CnCMR )
ICV_DEF_INIT_NORM_TAB_2D( Norm_L2, CnCMR )
ICV_DEF_INIT_NORM_TAB_2D( NormDiff_Inf, CnCMR )
ICV_DEF_INIT_NORM_TAB_2D( NormDiff_L1, CnCMR )
ICV_DEF_INIT_NORM_TAB_2D( NormDiff_L2, CnCMR )


CV_IMPL  double
cvNorm( const void* imgA, const void* imgB, int normType, const void* mask )
{
    static  CvFuncTable norm_tab[12];
    static  CvFuncTable normmask_tab[12];
    static  int inittab = 0;

    double  norm = 0, norm_diff = 0;

    CV_FUNCNAME("cvNorm");

    __BEGIN__;

    int type, depth, cn;
    int is_nd = 0;
    int coi = 0, coi2 = 0;
    int is_relative;
    CvSize size;
    CvMat stub1, *mat1 = (CvMat*)imgB;
    CvMat stub2, *mat2 = (CvMat*)imgA;
    int mat2_flag = CV_MAT_CONT_FLAG;
    int mat1_step, mat2_step, mask_step = 0;

    if( !inittab )
    {
        icvInitNorm_InfC1RTable( &norm_tab[0] );
        icvInitNorm_L1C1RTable( &norm_tab[1] );
        icvInitNorm_L2C1RTable( &norm_tab[2] );
        icvInitNormDiff_InfC1RTable( &norm_tab[3] );
        icvInitNormDiff_L1C1RTable( &norm_tab[4] );
        icvInitNormDiff_L2C1RTable( &norm_tab[5] );

        icvInitNorm_InfCnCRTable( &norm_tab[6] );
        icvInitNorm_L1CnCRTable( &norm_tab[7] );
        icvInitNorm_L2CnCRTable( &norm_tab[8] );
        icvInitNormDiff_InfCnCRTable( &norm_tab[9] );
        icvInitNormDiff_L1CnCRTable( &norm_tab[10] );
        icvInitNormDiff_L2CnCRTable( &norm_tab[11] );

        icvInitNorm_InfC1MRTable( &normmask_tab[0] );
        icvInitNorm_L1C1MRTable( &normmask_tab[1] );
        icvInitNorm_L2C1MRTable( &normmask_tab[2] );
        icvInitNormDiff_InfC1MRTable( &normmask_tab[3] );
        icvInitNormDiff_L1C1MRTable( &normmask_tab[4] );
        icvInitNormDiff_L2C1MRTable( &normmask_tab[5] );

        icvInitNorm_InfCnCMRTable( &normmask_tab[6] );
        icvInitNorm_L1CnCMRTable( &normmask_tab[7] );
        icvInitNorm_L2CnCMRTable( &normmask_tab[8] );
        icvInitNormDiff_InfCnCMRTable( &normmask_tab[9] );
        icvInitNormDiff_L1CnCMRTable( &normmask_tab[10] );
        icvInitNormDiff_L2CnCMRTable( &normmask_tab[11] );

        inittab = 1;
    }
    
    if( !mat1 )
    {
        mat1 = mat2;
        mat2 = 0;
    }

    is_relative = mat2 && (normType & CV_RELATIVE);
    normType &= ~CV_RELATIVE;

    switch( normType )
    {
    case CV_C:
    case CV_L1:
    case CV_L2:
    case CV_DIFF_C:
    case CV_DIFF_L1:
    case CV_DIFF_L2:
        normType = (normType & 7) >> 1;
        break;
    default:
        CV_ERROR( CV_StsBadFlag, "" );
    }

    if( !CV_IS_MAT(mat1))
    {
        if( CV_IS_MATND(mat1) )
            is_nd = 1;
        else
            CV_CALL( mat1 = cvGetMat( mat1, &stub1, &coi ));
    }
    
    if( mat2 )
    {
        if( CV_IS_MATND(mat2) )
            is_nd = 1;
        else
        {
            if( !CV_IS_MAT(mat2))
                CV_CALL( mat2 = cvGetMat( mat2, &stub2, &coi2 ));

            if( !CV_ARE_TYPES_EQ( mat1, mat2 ))
                CV_ERROR( CV_StsUnmatchedFormats, "" );

            if( !CV_ARE_SIZES_EQ( mat1, mat2 ))
                CV_ERROR( CV_StsUnmatchedSizes, "" );

            if( coi != coi2 && CV_MAT_CN( mat1->type ) > 1 )
                CV_ERROR( CV_BadCOI, "" );

            mat2_flag = mat2->type;
        }
    }

    if( is_nd )
    {
        CvArr* arrs[] = { mat1, mat2 };
        CvMatND stubs[2];
        CvMatNDIterator iterator;

        if( mask )
            CV_ERROR( CV_StsBadMask,
            "This operation on multi-dimensional arrays does not support mask" );

        CV_CALL( icvPrepareArrayOp( 1 + (mat2 != 0), arrs, 0, stubs, &iterator ));

        type = CV_MAT_TYPE(iterator.hdr[0]->type);
        depth = CV_MAT_DEPTH(type);
        iterator.size.width *= CV_MAT_CN(type);

        if( !mat2 || is_relative )
        {
            CvFunc2D_1A1P func;
            CV_GET_FUNC_PTR( func, (CvFunc2D_1A1P)norm_tab[normType].fn_2d[depth]);

            do
            {
                double temp = 0;
                IPPI_CALL( func( iterator.ptr[0], CV_STUB_STEP,
                                 iterator.size, &temp ));
                norm += temp;
            }
            while( icvNextMatNDSlice( &iterator ));
        }

        if( mat2 )
        {
            CvFunc2D_2A1P func;
            CV_GET_FUNC_PTR( func, (CvFunc2D_2A1P)norm_tab[3 + normType].fn_2d[depth]);

            do
            {
                double temp = 0;
                IPPI_CALL( func( iterator.ptr[0], CV_STUB_STEP,
                                 iterator.ptr[1], CV_STUB_STEP,
                                 iterator.size, &temp ));
                norm_diff += temp;
            }
            while( icvNextMatNDSlice( &iterator ));

            if( is_relative )
                norm = norm_diff/(norm + DBL_EPSILON);
            else
                norm = norm_diff;
        }
        EXIT;
    }

    type = CV_MAT_TYPE( mat1->type );
    depth = CV_MAT_DEPTH( type );
    cn = CV_MAT_CN( type );

    size = icvGetMatSize( mat1 );

    mat1_step = mat1->step;
    mat2_step = mat2 ? mat2->step : 0;

    if( !mask )
    {
        if( CV_IS_MAT_CONT( mat1->type & mat2_flag ))
        {
            size.width *= size.height;
            size.height = 1;
            mat1_step = mat2_step = CV_STUB_STEP;
        }
        
        if( CV_MAT_CN(type) == 1 || coi == 0 )
        {
            size.width *= cn;

            if( !mat2 || is_relative )
            {
                CvFunc2D_1A1P func;
                CV_GET_FUNC_PTR( func, (CvFunc2D_1A1P)norm_tab[normType].fn_2d[depth]);

                IPPI_CALL( func( mat1->data.ptr, mat1_step, size, &norm ));
            }
        
            if( mat2 )
            {
                CvFunc2D_2A1P func;
                CV_GET_FUNC_PTR( func, (CvFunc2D_2A1P)norm_tab[3 + normType].fn_2d[depth]);

                IPPI_CALL( func( mat1->data.ptr, mat1_step, mat2->data.ptr, mat2_step,
                                 size, &norm_diff ));

                if( is_relative )
                    norm = norm_diff/(norm + DBL_EPSILON);
                else
                    norm = norm_diff;
            }
        }
        else
        {
            if( !mat2 || is_relative )
            {
                CvFunc2DnC_1A1P func;
                CV_GET_FUNC_PTR( func, (CvFunc2DnC_1A1P)norm_tab[6 + normType].fn_2d[depth]);

                IPPI_CALL( func( mat1->data.ptr, mat1_step, size, cn, coi, &norm ));
            }
        
            if( mat2 )
            {
                CvFunc2DnC_2A1P func;
                CV_GET_FUNC_PTR( func, (CvFunc2DnC_2A1P)norm_tab[9 + normType].fn_2d[depth]);

                IPPI_CALL( func( mat1->data.ptr, mat1_step, mat2->data.ptr, mat2_step,
                                 size, cn, coi, &norm_diff ));

                if( is_relative )
                    norm = norm_diff/(norm + DBL_EPSILON);
                else
                    norm = norm_diff;
            }
        }
    }
    else
    {
        CvMat maskstub, *matmask = (CvMat*)mask;

        if( CV_MAT_CN(type) > 1 && coi == 0 )
            CV_ERROR( CV_StsBadArg, "" );

        CV_CALL( matmask = cvGetMat( matmask, &maskstub ));

        if( !CV_IS_MASK_ARR( matmask ))
            CV_ERROR( CV_StsBadMask, "" );

        if( !CV_ARE_SIZES_EQ( mat1, matmask ))
            CV_ERROR( CV_StsUnmatchedSizes, "" );
        
        mask_step = matmask->step;

        if( CV_IS_MAT_CONT( mat1->type & mat2_flag & matmask->type ))
        {
            size.width *= size.height;
            size.height = 1;
            mat1_step = mat2_step = mask_step = CV_STUB_STEP;
        }

        if( CV_MAT_CN(type) == 1 || coi == 0 )
        {
            if( !mat2 || is_relative )
            {
                CvFunc2D_2A1P func;
                CV_GET_FUNC_PTR( func,
                    (CvFunc2D_2A1P)normmask_tab[normType].fn_2d[depth]);

                IPPI_CALL( func( mat1->data.ptr, mat1_step,
                                 matmask->data.ptr, mask_step, size, &norm ));
            }
        
            if( mat2 )
            {
                CvFunc2D_3A1P func;
                CV_GET_FUNC_PTR( func,
                    (CvFunc2D_3A1P)normmask_tab[3 + normType].fn_2d[depth]);

                IPPI_CALL( func( mat1->data.ptr, mat1_step, mat2->data.ptr, mat2_step,
                                 matmask->data.ptr, mask_step, size, &norm_diff ));

                if( is_relative )
                    norm = norm_diff/(norm + DBL_EPSILON);
                else
                    norm = norm_diff;
            }
        }
        else
        {
            if( !mat2 || is_relative )
            {
                CvFunc2DnC_2A1P func;
                CV_GET_FUNC_PTR( func,
                    (CvFunc2DnC_2A1P)normmask_tab[6 + normType].fn_2d[depth]);

                IPPI_CALL( func( mat1->data.ptr, mat1_step,
                                 matmask->data.ptr, mask_step,
                                 size, cn, coi, &norm ));
            }
        
            if( mat2 )
            {
                CvFunc2DnC_3A1P func;
                CV_GET_FUNC_PTR( func,
                    (CvFunc2DnC_3A1P)normmask_tab[9 + normType].fn_2d[depth]);

                IPPI_CALL( func( mat1->data.ptr, mat1_step,
                                 mat2->data.ptr, mat2_step,
                                 matmask->data.ptr, mask_step,
                                 size, cn, coi, &norm_diff ));

                if( is_relative )
                    norm = norm_diff/(norm + DBL_EPSILON);
                else
                    norm = norm_diff;
            }
        }
    }

    __END__;

    return norm;
}


/* End of file. */

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