?? cvsamplers.cpp
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//
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// For Open Source Computer Vision Library
//
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#include "_cv.h"
/**************************************************************************************\
* line samplers *
\**************************************************************************************/
CV_IMPL int
cvSampleLine( const void* img, CvPoint pt1, CvPoint pt2,
void* _buffer, int connectivity )
{
int count = -1;
CV_FUNCNAME( "cvSampleLine" );
__BEGIN__;
int i, coi = 0, pix_size;
CvMat stub, *mat = (CvMat*)img;
CvLineIterator iterator;
uchar* buffer = (uchar*)_buffer;
CV_CALL( mat = cvGetMat( mat, &stub, &coi ));
if( coi != 0 )
CV_ERROR( CV_BadCOI, "" );
if( !buffer )
CV_ERROR( CV_StsNullPtr, "" );
CV_CALL( count = cvInitLineIterator( mat, pt1, pt2, &iterator, connectivity ));
pix_size = CV_ELEM_SIZE(mat->type);
for( i = 0; i < count; i++ )
{
CV_MEMCPY_AUTO( buffer, iterator.ptr, pix_size );
buffer += pix_size;
CV_NEXT_LINE_POINT( iterator );
}
__END__;
return count;
}
static const void*
icvAdjustRect( const void* srcptr, int src_step, int pix_size,
CvSize src_size, CvSize win_size,
CvPoint ip, CvRect* pRect )
{
CvRect rect;
const char* src = (const char*)srcptr;
if( ip.x >= 0 )
{
src += ip.x*pix_size;
rect.x = 0;
}
else
{
rect.x = -ip.x;
if( rect.x > win_size.width )
rect.x = win_size.width;
}
if( ip.x + win_size.width < src_size.width )
rect.width = win_size.width;
else
{
rect.width = src_size.width - ip.x - 1;
if( rect.width < 0 )
{
src += rect.width*pix_size;
rect.width = 0;
}
assert( rect.width <= win_size.width );
}
if( ip.y >= 0 )
{
src += ip.y * src_step;
rect.y = 0;
}
else
rect.y = -ip.y;
if( ip.y + win_size.height < src_size.height )
rect.height = win_size.height;
else
{
rect.height = src_size.height - ip.y - 1;
if( rect.height < 0 )
{
src += rect.height*src_step;
rect.height = 0;
}
}
*pRect = rect;
return src - rect.x*pix_size;
}
#define ICV_DEF_GET_RECT_SUB_PIX_FUNC( flavor, srctype, dsttype, worktype, \
cast_macro, scale_macro, cast_macro2 )\
CvStatus CV_STDCALL icvGetRectSubPix_##flavor##_C1R \
( const srctype* src, int src_step, CvSize src_size, \
dsttype* dst, int dst_step, CvSize win_size, CvPoint2D32f center ) \
{ \
CvPoint ip; \
worktype a11, a12, a21, a22, b1, b2; \
float a, b; \
int i, j; \
\
center.x -= (win_size.width-1)*0.5f; \
center.y -= (win_size.height-1)*0.5f; \
\
ip.x = cvFloor( center.x ); \
ip.y = cvFloor( center.y ); \
\
a = center.x - ip.x; \
b = center.y - ip.y; \
a11 = scale_macro((1.f-a)*(1.f-b)); \
a12 = scale_macro(a*(1.f-b)); \
a21 = scale_macro((1.f-a)*b); \
a22 = scale_macro(a*b); \
b1 = scale_macro(1.f - b); \
b2 = scale_macro(b); \
\
src_step /= sizeof(src[0]); \
dst_step /= sizeof(dst[0]); \
\
if( 0 <= ip.x && ip.x + win_size.width < src_size.width && \
0 <= ip.y && ip.y + win_size.height < src_size.height ) \
{ \
/* extracted rectangle is totally inside the image */ \
src += ip.y * src_step + ip.x; \
\
if( icvCopySubpix_##flavor##_C1R_p && \
icvCopySubpix_##flavor##_C1R_p( src, src_step*sizeof(src[0]), \
dst, dst_step*sizeof(dst[0]), \
win_size, a, b ) >= 0 ) \
return CV_OK; \
\
for( i = 0; i < win_size.height; i++, src += src_step, \
dst += dst_step ) \
{ \
for( j = 0; j <= win_size.width - 2; j += 2 ) \
{ \
worktype s0 = cast_macro(src[j])*a11 + \
cast_macro(src[j+1])*a12 + \
cast_macro(src[j+src_step])*a21 + \
cast_macro(src[j+src_step+1])*a22; \
worktype s1 = cast_macro(src[j+1])*a11 + \
cast_macro(src[j+2])*a12 + \
cast_macro(src[j+src_step+1])*a21 + \
cast_macro(src[j+src_step+2])*a22; \
\
dst[j] = (dsttype)cast_macro2(s0); \
dst[j+1] = (dsttype)cast_macro2(s1); \
} \
\
for( ; j < win_size.width; j++ ) \
{ \
worktype s0 = cast_macro(src[j])*a11 + \
cast_macro(src[j+1])*a12 + \
cast_macro(src[j+src_step])*a21 + \
cast_macro(src[j+src_step+1])*a22; \
\
dst[j] = (dsttype)cast_macro2(s0); \
} \
} \
} \
else \
{ \
CvRect r; \
\
src = (const srctype*)icvAdjustRect( src, src_step*sizeof(*src), \
sizeof(*src), src_size, win_size,ip, &r); \
\
for( i = 0; i < win_size.height; i++, dst += dst_step ) \
{ \
const srctype *src2 = src + src_step; \
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