📄 cvfloodfill.cpp
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unsigned length = (unsigned)(R-L);
if( region )
{
area += (int)length + 1;
if( XMax < R ) XMax = R;
if( XMin > L ) XMin = L;
if( YMax < YC ) YMax = YC;
if( YMin > YC ) YMin = YC;
}
if( cn == 1 )
{
for( k = 0; k < 3; k++ )
{
dir = data[k][0];
curstep = dir * step;
img = pImage + (YC + dir) * step;
mask = pMask + (YC + dir) * maskStep;
int left = data[k][1];
int right = data[k][2];
if( fixedRange )
for( i = left; i <= right; i++ )
{
if( !mask[i] && DIFF_FLT_C1( img + i, val0 ))
{
int j = i;
mask[i] = newMaskVal;
while( !mask[--j] && DIFF_FLT_C1( img + j, val0 ))
mask[j] = newMaskVal;
while( !mask[++i] && DIFF_FLT_C1( img + i, val0 ))
mask[i] = newMaskVal;
ICV_PUSH( YC + dir, j+1, i-1, L, R, -dir );
}
}
else if( !_8_connectivity )
for( i = left; i <= right; i++ )
{
if( !mask[i] && DIFF_FLT_C1( img + i, img - curstep + i ))
{
int j = i;
mask[i] = newMaskVal;
while( !mask[--j] && DIFF_FLT_C1( img + j, img + (j+1) ))
mask[j] = newMaskVal;
while( !mask[++i] &&
(DIFF_FLT_C1( img + i, img + (i-1) ) ||
(DIFF_FLT_C1( img + i, img + i - curstep) && i <= R)))
mask[i] = newMaskVal;
ICV_PUSH( YC + dir, j+1, i-1, L, R, -dir );
}
}
else
for( i = left; i <= right; i++ )
{
int idx;
float val[1];
if( !mask[i] &&
((val[0] = img[i],
(unsigned)(idx = i-L-1) <= length) &&
DIFF_FLT_C1( val, img - curstep + (i-1) ) ||
(unsigned)(++idx) <= length &&
DIFF_FLT_C1( val, img - curstep + i ) ||
(unsigned)(++idx) <= length &&
DIFF_FLT_C1( val, img - curstep + (i+1) )))
{
int j = i;
mask[i] = newMaskVal;
while( !mask[--j] && DIFF_FLT_C1( img + j, img + (j+1) ))
mask[j] = newMaskVal;
while( !mask[++i] &&
((val[0] = img[i],
DIFF_FLT_C1( val, img + (i-1) )) ||
((unsigned)(idx = i-L-1) <= length &&
DIFF_FLT_C1( val, img - curstep + (i-1) )) ||
(unsigned)(++idx) <= length &&
DIFF_FLT_C1( val, img - curstep + i ) ||
(unsigned)(++idx) <= length &&
DIFF_FLT_C1( val, img - curstep + (i+1) )))
mask[i] = newMaskVal;
ICV_PUSH( YC + dir, j+1, i-1, L, R, -dir );
}
}
}
img = pImage + YC * step;
if( fillImage )
for( i = L; i <= R; i++ )
img[i] = newVal[0];
else if( region )
for( i = L; i <= R; i++ )
sum[0] += img[i];
}
else
{
for( k = 0; k < 3; k++ )
{
dir = data[k][0];
curstep = dir * step;
img = pImage + (YC + dir) * step;
mask = pMask + (YC + dir) * maskStep;
int left = data[k][1];
int right = data[k][2];
if( fixedRange )
for( i = left; i <= right; i++ )
{
if( !mask[i] && DIFF_FLT_C3( img + i*3, val0 ))
{
int j = i;
mask[i] = newMaskVal;
while( !mask[--j] && DIFF_FLT_C3( img + j*3, val0 ))
mask[j] = newMaskVal;
while( !mask[++i] && DIFF_FLT_C3( img + i*3, val0 ))
mask[i] = newMaskVal;
ICV_PUSH( YC + dir, j+1, i-1, L, R, -dir );
}
}
else if( !_8_connectivity )
for( i = left; i <= right; i++ )
{
if( !mask[i] && DIFF_FLT_C3( img + i*3, img - curstep + i*3 ))
{
int j = i;
mask[i] = newMaskVal;
while( !mask[--j] && DIFF_FLT_C3( img + j*3, img + (j+1)*3 ))
mask[j] = newMaskVal;
while( !mask[++i] &&
(DIFF_FLT_C3( img + i*3, img + (i-1)*3 ) ||
(DIFF_FLT_C3( img + i*3, img + i*3 - curstep) && i <= R)))
mask[i] = newMaskVal;
ICV_PUSH( YC + dir, j+1, i-1, L, R, -dir );
}
}
else
for( i = left; i <= right; i++ )
{
int idx;
float val[3];
if( !mask[i] &&
((ICV_SET_C3( val, img+i*3 ),
(unsigned)(idx = i-L-1) <= length) &&
DIFF_FLT_C3( val, img - curstep + (i-1)*3 ) ||
(unsigned)(++idx) <= length &&
DIFF_FLT_C3( val, img - curstep + i*3 ) ||
(unsigned)(++idx) <= length &&
DIFF_FLT_C3( val, img - curstep + (i+1)*3 )))
{
int j = i;
mask[i] = newMaskVal;
while( !mask[--j] && DIFF_FLT_C3( img + j*3, img + (j+1)*3 ))
mask[j] = newMaskVal;
while( !mask[++i] &&
((ICV_SET_C3( val, img + i*3 ),
DIFF_FLT_C3( val, img + (i-1)*3 )) ||
((unsigned)(idx = i-L-1) <= length &&
DIFF_FLT_C3( val, img - curstep + (i-1)*3 )) ||
(unsigned)(++idx) <= length &&
DIFF_FLT_C3( val, img - curstep + i*3 ) ||
(unsigned)(++idx) <= length &&
DIFF_FLT_C3( val, img - curstep + (i+1)*3 )))
mask[i] = newMaskVal;
ICV_PUSH( YC + dir, j+1, i-1, L, R, -dir );
}
}
}
img = pImage + YC * step;
if( fillImage )
for( i = L; i <= R; i++ )
ICV_SET_C3( img + i*3, newVal );
else if( region )
for( i = L; i <= R; i++ )
{
sum[0] += img[i*3];
sum[1] += img[i*3+1];
sum[2] += img[i*3+2];
}
}
}
if( region )
{
region->area = area;
region->rect.x = XMin;
region->rect.y = YMin;
region->rect.width = XMax - XMin + 1;
region->rect.height = YMax - YMin + 1;
if( fillImage )
region->value = cvScalar(newVal[0], newVal[1], newVal[2]);
else
{
double iarea = area ? 1./area : 0;
region->value = cvScalar(sum[0]*iarea, sum[1]*iarea, sum[2]*iarea);
}
}
return CV_NO_ERR;
}
/****************************************************************************************\
* External Functions *
\****************************************************************************************/
typedef CvStatus (CV_CDECL* CvFloodFillFunc)(
void* img, int step, CvSize size, CvPoint seed, void* newval,
CvConnectedComp* comp, int flags, void* buffer, int buffer_size, int cn );
typedef CvStatus (CV_CDECL* CvFloodFillGradFunc)(
void* img, int step, uchar* mask, int maskStep, CvSize size,
CvPoint seed, void* newval, void* d_lw, void* d_up, void* ccomp,
int flags, void* buffer, int buffer_size, int cn );
static void icvInitFloodFill( void** ffill_tab,
void** ffillgrad_tab )
{
ffill_tab[0] = (void*)icvFloodFill_8u_CnIR;
ffill_tab[1] = (void*)icvFloodFill_32f_CnIR;
ffillgrad_tab[0] = (void*)icvFloodFill_Grad_8u_CnIR;
ffillgrad_tab[1] = (void*)icvFloodFill_Grad_32f_CnIR;
}
CV_IMPL void
cvFloodFill( CvArr* arr, CvPoint seed_point,
CvScalar newVal, CvScalar lo_diff, CvScalar up_diff,
CvConnectedComp* comp, int flags, CvArr* maskarr )
{
static void* ffill_tab[4];
static void* ffillgrad_tab[4];
static int inittab = 0;
CvMat* tempMask = 0;
CvFFillSegment* buffer = 0;
CV_FUNCNAME( "cvFloodFill" );
if( comp )
memset( comp, 0, sizeof(*comp) );
__BEGIN__;
int i, type, depth, cn, is_simple, idx;
int buffer_size, connectivity = flags & 255;
double nv_buf[4] = {0,0,0,0};
union { uchar b[4]; float f[4]; } ld_buf, ud_buf;
CvMat stub, *img = (CvMat*)arr;
CvMat maskstub, *mask = (CvMat*)maskarr;
CvSize size;
if( !inittab )
{
icvInitFloodFill( ffill_tab, ffillgrad_tab );
inittab = 1;
}
CV_CALL( img = cvGetMat( img, &stub ));
type = CV_MAT_TYPE( img->type );
depth = CV_MAT_DEPTH(type);
cn = CV_MAT_CN(type);
idx = type == CV_8UC1 || type == CV_8UC3 ? 0 :
type == CV_32FC1 || type == CV_32FC3 ? 1 : -1;
if( idx < 0 )
CV_ERROR( CV_StsUnsupportedFormat, "" );
if( connectivity == 0 )
connectivity = 4;
else if( connectivity != 4 && connectivity != 8 )
CV_ERROR( CV_StsBadFlag, "Connectivity must be 4, 0(=4) or 8" );
is_simple = mask == 0 && (flags & CV_FLOODFILL_MASK_ONLY) == 0;
for( i = 0; i < cn; i++ )
{
if( lo_diff.val[i] < 0 || up_diff.val[i] < 0 )
CV_ERROR( CV_StsBadArg, "lo_diff and up_diff must be non-negative" );
is_simple &= fabs(lo_diff.val[i]) < DBL_EPSILON && fabs(up_diff.val[i]) < DBL_EPSILON;
}
size = cvGetMatSize( img );
if( (unsigned)seed_point.x >= (unsigned)size.width ||
(unsigned)seed_point.y >= (unsigned)size.height )
CV_ERROR( CV_StsOutOfRange, "Seed point is outside of image" );
cvScalarToRawData( &newVal, &nv_buf, type, 0 );
buffer_size = MAX( size.width, size.height )*2;
CV_CALL( buffer = (CvFFillSegment*)cvAlloc( buffer_size*sizeof(buffer[0])));
if( is_simple )
{
CvFloodFillFunc func = (CvFloodFillFunc)ffill_tab[idx];
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
IPPI_CALL( func( img->data.ptr, img->step, size,
seed_point, &nv_buf, comp, flags,
buffer, buffer_size, cn ));
}
else
{
CvFloodFillGradFunc func = (CvFloodFillGradFunc)ffillgrad_tab[idx];
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
if( !mask )
{
/* created mask will be 8-byte aligned */
tempMask = cvCreateMat( size.height + 2, (size.width + 9) & -8, CV_8UC1 );
mask = tempMask;
}
else
{
CV_CALL( mask = cvGetMat( mask, &maskstub ));
if( !CV_IS_MASK_ARR( mask ))
CV_ERROR( CV_StsBadMask, "" );
if( mask->width != size.width + 2 || mask->height != size.height + 2 )
CV_ERROR( CV_StsUnmatchedSizes, "mask must be 2 pixel wider "
"and 2 pixel taller than filled image" );
}
{
int width = tempMask ? mask->step : size.width + 2;
uchar* mask_row = mask->data.ptr + mask->step;
memset( mask_row - mask->step, 1, width );
for( i = 1; i <= size.height; i++, mask_row += mask->step )
{
if( tempMask )
memset( mask_row, 0, width );
mask_row[0] = mask_row[size.width+1] = (uchar)1;
}
memset( mask_row, 1, width );
}
if( depth == CV_8U )
for( i = 0; i < cn; i++ )
{
int t = cvFloor(lo_diff.val[i]);
ld_buf.b[i] = CV_CAST_8U(t);
t = cvFloor(up_diff.val[i]);
ud_buf.b[i] = CV_CAST_8U(t);
}
else
for( i = 0; i < cn; i++ )
{
ld_buf.f[i] = (float)lo_diff.val[i];
ud_buf.f[i] = (float)up_diff.val[i];
}
IPPI_CALL( func( img->data.ptr, img->step, mask->data.ptr, mask->step,
size, seed_point, &nv_buf, ld_buf.f, ud_buf.f,
comp, flags, buffer, buffer_size, cn ));
}
__END__;
cvFree( &buffer );
cvReleaseMat( &tempMask );
}
/* End of file. */
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