cvarithm.cpp.svn-base
来自「非结构化路识别」· SVN-BASE 代码 · 共 1,439 行 · 第 1/5 页
SVN-BASE
1,439 行
{
CvFunc2D_3A func = (CvFunc2D_3A)(add_tab.fn_2d[depth]);
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
IPPI_CALL( func( src1->data.ptr, src1_step, src2->data.ptr, src2_step,
dst->data.ptr, dst_step, size ));
}
}
else
{
CvMat maskstub, *mask = (CvMat*)maskarr;
CvArithmBinMaskFunc2D func;
int mask_step;
if( !CV_IS_MAT(mask) )
CV_CALL( mask = cvGetMat( mask, &maskstub ));
if( !CV_IS_MASK_ARR(mask))
CV_ERROR( CV_StsBadMask, "" );
if( !CV_ARE_SIZES_EQ( mask, dst ))
CV_ERROR( CV_StsUnmatchedSizes, "" );
if( dst->data.ptr == src1->data.ptr )
;
else if( dst->data.ptr == src2->data.ptr )
{
src2 = src1;
}
else
{
CV_CALL( cvCopy( src1, dst, mask ));
}
if( CV_IS_MAT_CONT( src2->type & dst->type & mask->type ))
{
size.width *= size.height;
src2_step = dst_step = mask_step = CV_STUB_STEP;
size.height = 1;
}
else
{
src2_step = src2->step;
dst_step = dst->step;
mask_step = mask->step;
}
if( !initmasktab )
{
icvInitAddCnMRTable( &addmask_tab );
initmasktab = 1;
}
func = (CvArithmBinMaskFunc2D)
(addmask_tab.fn_2d[CV_MAT_DEPTH(type)]);
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
IPPI_CALL( func( src2->data.ptr, src2_step,
mask->data.ptr, mask_step,
dst->data.ptr, dst_step, size, CV_MAT_CN(type) ));
}
__END__;
}
CV_IMPL void
cvAddS( const void* srcarr, CvScalar scalar, void* dstarr, const void* maskarr )
{
static CvFuncTable addmask_tab;
static CvFuncTable add_tab;
static int inittab = 0;
CV_FUNCNAME( "cvAddS" );
__BEGIN__;
int sctype, type, coi = 0;
int src_step, dst_step;
int is_nd = 0;
CvMat srcstub, *src = (CvMat*)srcarr;
CvMat dststub, *dst = (CvMat*)dstarr;
double buf[12];
CvSize size;
if( !inittab )
{
icvInitAddCC1RTable( &add_tab );
icvInitAddCCnMRTable( &addmask_tab );
inittab = 1;
}
if( !CV_IS_MAT(src) )
{
if( CV_IS_MATND(src) )
is_nd = 1;
else
{
CV_CALL( src = cvGetMat( src, &srcstub, &coi ));
if( coi != 0 )
CV_ERROR( CV_BadCOI, "" );
}
}
if( !CV_IS_MAT(dst) )
{
if( CV_IS_MATND(dst) )
is_nd = 1;
else
{
CV_CALL( dst = cvGetMat( dst, &dststub, &coi ));
if( coi != 0 )
CV_ERROR( CV_BadCOI, "" );
}
}
if( is_nd )
{
CvArr* arrs[] = { src, dst };
CvMatND stubs[2];
CvMatNDIterator iterator;
CvFunc2D_2A1P func;
if( maskarr )
CV_ERROR( CV_StsBadMask,
"This operation on multi-dimensional arrays does not support mask" );
CV_CALL( icvPrepareArrayOp( 2, arrs, 0, stubs, &iterator ));
sctype = type = CV_MAT_TYPE(iterator.hdr[0]->type);
if( CV_MAT_DEPTH(sctype) < CV_32S )
sctype = (type & CV_MAT_CN_MASK) | CV_32SC1;
iterator.size.width *= CV_MAT_CN(type);
func = (CvFunc2D_2A1P)(add_tab.fn_2d[CV_MAT_DEPTH(type)]);
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
CV_CALL( cvScalarToRawData( &scalar, buf, sctype, 0 ));
do
{
IPPI_CALL( func( iterator.ptr[0], CV_STUB_STEP,
iterator.ptr[1], CV_STUB_STEP,
iterator.size, buf ));
}
while( icvNextMatNDSlice( &iterator ));
EXIT;
}
if( !CV_ARE_TYPES_EQ( src, dst ))
CV_ERROR_FROM_CODE( CV_StsUnmatchedFormats );
if( !CV_ARE_SIZES_EQ( src, dst ))
CV_ERROR_FROM_CODE( CV_StsUnmatchedSizes );
sctype = type = CV_MAT_TYPE(src->type);
if( CV_MAT_DEPTH(sctype) < CV_32S )
sctype = (type & CV_MAT_CN_MASK) | CV_32SC1;
size = icvGetMatSize( src );
if( !maskarr )
{
if( CV_IS_MAT_CONT( src->type & dst->type ))
{
size.width *= size.height;
if( size.width <= CV_MAX_INLINE_MAT_OP_SIZE )
{
if( type == CV_32FC1 )
{
const float* srcdata = (const float*)(src->data.ptr);
float* dstdata = (float*)(dst->data.ptr);
do
{
dstdata[size.width-1] = (float)
(scalar.val[0] + srcdata[size.width-1]);
}
while( --size.width );
EXIT;
}
if( type == CV_64FC1 )
{
const double* srcdata = (const double*)(src->data.ptr);
double* dstdata = (double*)(dst->data.ptr);
do
{
dstdata[size.width-1] =
scalar.val[0] + srcdata[size.width-1];
}
while( --size.width );
EXIT;
}
}
src_step = dst_step = CV_STUB_STEP;
size.height = 1;
}
else
{
src_step = src->step;
dst_step = dst->step;
}
{
size.width *= CV_MAT_CN( type );
CvFunc2D_2A1P func = (CvFunc2D_2A1P)(add_tab.fn_2d[CV_MAT_DEPTH(type)]);
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
CV_CALL( cvScalarToRawData( &scalar, buf, sctype, 1 ));
IPPI_CALL( func( src->data.ptr, src_step,
dst->data.ptr, dst_step, size, buf ));
}
}
else
{
CvMat maskstub, *mask = (CvMat*)maskarr;
CvArithmUniMaskFunc2D func;
int mask_step;
if( !CV_IS_MAT(mask) )
CV_CALL( mask = cvGetMat( mask, &maskstub ));
if( !CV_IS_MASK_ARR(mask))
CV_ERROR( CV_StsBadMask, "" );
if( !CV_ARE_SIZES_EQ( mask, dst ))
CV_ERROR( CV_StsUnmatchedSizes, "" );
if( src->data.ptr != dst->data.ptr )
{
CV_CALL( cvCopy( src, dst, mask ));
}
if( CV_IS_MAT_CONT( dst->type & mask->type ))
{
size.width *= size.height;
dst_step = mask_step = CV_STUB_STEP;
size.height = 1;
}
else
{
dst_step = dst->step;
mask_step = mask->step;
}
func = (CvArithmUniMaskFunc2D)(addmask_tab.fn_2d[CV_MAT_DEPTH(type)]);
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
CV_CALL( cvScalarToRawData( &scalar, buf, sctype, 0 ));
IPPI_CALL( func( dst->data.ptr, dst_step, mask->data.ptr,
mask_step, size, buf, CV_MAT_CN(type) ));
}
__END__;
}
/***************************************** M U L ****************************************/
#define ICV_DEF_MUL_OP_CASE( flavor, arrtype, worktype, _cast_macro1_, \
_cast_macro2_, _cvt_macro_ ) \
\
IPCVAPI_IMPL( CvStatus, icvMul_##flavor##_C1R,( const arrtype* src1, int step1, \
const arrtype* src2, int step2, \
arrtype* dst, int step, \
CvSize size, double scale )) \
{ \
if( scale == 1 ) \
{ \
f
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