Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
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// If you do not agree to this license, do not download, install,
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//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
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//
// Redistribution and use in source and binary forms, with or without modification,
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//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
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//M*/
#include "precomp.hpp"
typedef struct CvFFillSegment
{
ushort y;
ushort l;
ushort r;
ushort prevl;
ushort prevr;
short dir;
}
CvFFillSegment;
#define UP 1
#define DOWN -1
#define ICV_PUSH( Y, L, R, PREV_L, PREV_R, DIR )\
{ \
tail->y = (ushort)(Y); \
tail->l = (ushort)(L); \
tail->r = (ushort)(R); \
tail->prevl = (ushort)(PREV_L); \
tail->prevr = (ushort)(PREV_R); \
tail->dir = (short)(DIR); \
if( ++tail >= buffer_end ) \
tail = buffer; \
}
#define ICV_POP( Y, L, R, PREV_L, PREV_R, DIR ) \
{ \
Y = head->y; \
L = head->l; \
R = head->r; \
PREV_L = head->prevl; \
PREV_R = head->prevr; \
DIR = head->dir; \
if( ++head >= buffer_end ) \
head = buffer; \
}
/****************************************************************************************\
* Simple Floodfill (repainting single-color connected component) *
\****************************************************************************************/
template<typename _Tp>
static void
icvFloodFill_CnIR( uchar* pImage, int step, CvSize roi, CvPoint seed,
_Tp newVal, CvConnectedComp* region, int flags,
CvFFillSegment* buffer, int buffer_size )
{
typedef typename cv::DataType<_Tp>::channel_type _CTp;
_Tp* img = (_Tp*)(pImage + step * seed.y);
int i, L, R;
int area = 0;
int XMin, XMax, YMin = seed.y, YMax = seed.y;
int _8_connectivity = (flags & 255) == 8;
CvFFillSegment* buffer_end = buffer + buffer_size, *head = buffer, *tail = buffer;
L = R = XMin = XMax = seed.x;
_Tp val0 = img[L];
img[L] = newVal;
while( ++R < roi.width && img[R] == val0 )
img[R] = newVal;
while( --L >= 0 && img[L] == val0 )
img[L] = newVal;
XMax = --R;
XMin = ++L;
ICV_PUSH( seed.y, L, R, R + 1, R, UP );
while( head != tail )
{
int k, YC, PL, PR, dir;
ICV_POP( YC, L, R, PL, PR, dir );
int data[][3] =
{
{-dir, L - _8_connectivity, R + _8_connectivity},
{dir, L - _8_connectivity, PL - 1},
{dir, PR + 1, R + _8_connectivity}
};
if( region )
{
area += R - L + 1;
if( XMax < R ) XMax = R;
if( XMin > L ) XMin = L;
if( YMax < YC ) YMax = YC;
if( YMin > YC ) YMin = YC;
}
for( k = 0; k < 3; k++ )
{
dir = data[k][0];
img = (_Tp*)(pImage + (YC + dir) * step);
int left = data[k][1];
int right = data[k][2];
if( (unsigned)(YC + dir) >= (unsigned)roi.height )
continue;
for( i = left; i <= right; i++ )
{
if( (unsigned)i < (unsigned)roi.width && img[i] == val0 )
{
int j = i;
img[i] = newVal;
while( --j >= 0 && img[j] == val0 )
img[j] = newVal;
while( ++i < roi.width && img[i] == val0 )
img[i] = newVal;
ICV_PUSH( YC + dir, j+1, i-1, L, R, -dir );
}
}
}
}
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;
region->value = cv::Scalar(newVal);
}
}
/****************************************************************************************\
* Gradient Floodfill *
\****************************************************************************************/
struct Diff8uC1
{
Diff8uC1(uchar _lo, uchar _up) : lo(_lo), interval(_lo + _up) {}
bool operator()(const uchar* a, const uchar* b) const
{ return (unsigned)(a[0] - b[0] + lo) <= interval; }
unsigned lo, interval;
};
struct Diff8uC3
{
Diff8uC3(cv::Vec3b _lo, cv::Vec3b _up)
{
for( int k = 0; k < 3; k++ )
lo[k] = _lo[k], interval[k] = _lo[k] + _up[k];
}
bool operator()(const cv::Vec3b* a, const cv::Vec3b* b) const
{
return (unsigned)(a[0][0] - b[0][0] + lo[0]) <= interval[0] &&
(unsigned)(a[0][1] - b[0][1] + lo[1]) <= interval[1] &&
(unsigned)(a[0][2] - b[0][2] + lo[2]) <= interval[2];
}
unsigned lo[3], interval[3];
};
template<typename _Tp>
struct DiffC1
{
DiffC1(_Tp _lo, _Tp _up) : lo(-_lo), up(_up) {}
bool operator()(const _Tp* a, const _Tp* b) const
{
_Tp d = a[0] - b[0];
return lo <= d && d <= up;
}
_Tp lo, up;
};
template<typename _Tp>
struct DiffC3
{
DiffC3(_Tp _lo, _Tp _up) : lo(-_lo), up(_up) {}
bool operator()(const _Tp* a, const _Tp* b) const
{
_Tp d = *a - *b;
return lo[0] <= d[0] && d[0] <= up[0] &&
lo[1] <= d[1] && d[1] <= up[1] &&
lo[2] <= d[2] && d[2] <= up[2];
}
_Tp lo, up;
};
typedef DiffC1<int> Diff32sC1;
typedef DiffC3<cv::Vec3i> Diff32sC3;
typedef DiffC1<float> Diff32fC1;
typedef DiffC3<cv::Vec3f> Diff32fC3;
cv::Vec3i& operator += (cv::Vec3i& a, const cv::Vec3b& b)
{
a[0] += b[0];
a[1] += b[1];
a[2] += b[2];
return a;
}
template<typename _Tp, typename _WTp, class Diff>
static void
icvFloodFillGrad_CnIR( uchar* pImage, int step, uchar* pMask, int maskStep,
CvSize /*roi*/, CvPoint seed, _Tp newVal, Diff diff,
CvConnectedComp* region, int flags,
CvFFillSegment* buffer, int buffer_size )
{
typedef typename cv::DataType<_Tp>::channel_type _CTp;
_Tp* img = (_Tp*)(pImage + step*seed.y);
uchar* mask = (pMask += maskStep + 1) + maskStep*seed.y;
int i, L, R;
int area = 0;
_WTp sum = _WTp((typename cv::DataType<_Tp>::channel_type)0);
int XMin, XMax, YMin = seed.y, YMax = seed.y;
int _8_connectivity = (flags & 255) == 8;
int fixedRange = flags & CV_FLOODFILL_FIXED_RANGE;
int fillImage = (flags & CV_FLOODFILL_MASK_ONLY) == 0;
uchar newMaskVal = (uchar)(flags & 0xff00 ? flags >> 8 : 1);
CvFFillSegment* buffer_end = buffer + buffer_size, *head = buffer, *tail = buffer;
L = R = seed.x;
if( mask[L] )
return;
mask[L] = newMaskVal;
_Tp val0 = img[L];
if( fixedRange )
{
while( !mask[R + 1] && diff( img + (R+1), &val0 ))
mask[++R] = newMaskVal;
while( !mask[L - 1] && diff( img + (L-1), &val0 ))
mask[--L] = newMaskVal;
}
else
{
while( !mask[R + 1] && diff( img + (R+1), img + R ))
mask[++R] = newMaskVal;
while( !mask[L - 1] && diff( img + (L-1), img + L ))
mask[--L] = newMaskVal;
}
XMax = R;
XMin = L;
ICV_PUSH( seed.y, L, R, R + 1, R, UP );
while( head != tail )
{
int k, YC, PL, PR, dir;
ICV_POP( YC, L, R, PL, PR, dir );
int data[][3] =
{
{-dir, L - _8_connectivity, R + _8_connectivity},
{dir, L - _8_connectivity, PL - 1},
{dir, PR + 1, R + _8_connectivity}
};
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;
}
for( k = 0; k < 3; k++ )
{
dir = data[k][0];
img = (_Tp*)(pImage + (YC + dir) * step);
_Tp* img1 = (_Tp*)(pImage + YC * 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( img + i, &val0 ))
{
int j = i;
mask[i] = newMaskVal;
while( !mask[--j] && diff( img + j, &val0 ))
mask[j] = newMaskVal;
while( !mask[++i] && diff( 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( img + i, img1 + i ))
{
int j = i;
mask[i] = newMaskVal;
while( !mask[--j] && diff( img + j, img + (j+1) ))
mask[j] = newMaskVal;
while( !mask[++i] &&
(diff( img + i, img + (i-1) ) ||
(diff( img + i, img1 + i) && 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;
_Tp val;
if( !mask[i] &&
(((val = img[i],
(unsigned)(idx = i-L-1) <= length) &&
diff( &val, img1 + (i-1))) ||
((unsigned)(++idx) <= length &&
diff( &val, img1 + i )) ||
((unsigned)(++idx) <= length &&
diff( &val, img1 + (i+1) ))))
{
int j = i;
mask[i] = newMaskVal;
while( !mask[--j] && diff( img + j, img + (j+1) ))
mask[j] = newMaskVal;
while( !mask[++i] &&
((val = img[i],
diff( &val, img + (i-1) )) ||
(((unsigned)(idx = i-L-1) <= length &&
diff( &val, img1 + (i-1) ))) ||
((unsigned)(++idx) <= length &&
diff( &val, img1 + i )) ||
((unsigned)(++idx) <= length &&
diff( &val, img1 + (i+1) ))))
mask[i] = newMaskVal;
ICV_PUSH( YC + dir, j+1, i-1, L, R, -dir );
}
}
}
img = (_Tp*)(pImage + YC * step);
if( fillImage )
for( i = L; i <= R; i++ )
img[i] = newVal;
else if( region )
for( i = L; i <= R; i++ )
sum += img[i];
}
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 = cv::Scalar(newVal);
else
{
double iarea = area ? 1./area : 0;
region->value = cv::Scalar(sum*iarea);
}
}
}
/****************************************************************************************\
* External Functions *
\****************************************************************************************/
typedef void (*CvFloodFillFunc)(
void* img, int step, CvSize size, CvPoint seed, void* newval,
CvConnectedComp* comp, int flags, void* buffer, int buffer_size, int cn );
typedef void (*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 );
CV_IMPL void
cvFloodFill( CvArr* arr, CvPoint seed_point,
CvScalar newVal, CvScalar lo_diff, CvScalar up_diff,
CvConnectedComp* comp, int flags, CvArr* maskarr )
{
cv::Ptr<CvMat> tempMask;
cv::AutoBuffer<CvFFillSegment> buffer;
if( comp )
memset( comp, 0, sizeof(*comp) );
int i, type, depth, cn, is_simple;
int buffer_size, connectivity = flags & 255;
double nv_buf[4] = {0,0,0,0};
struct { cv::Vec3b b; cv::Vec3i i; cv::Vec3f f; } ld_buf, ud_buf;
CvMat stub, *img = cvGetMat(arr, &stub);
CvMat maskstub, *mask = (CvMat*)maskarr;
CvSize size;
type = CV_MAT_TYPE( img->type );
depth = CV_MAT_DEPTH(type);
cn = CV_MAT_CN(type);
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;
buffer.allocate( buffer_size );
if( is_simple )
{
/*int elem_size = CV_ELEM_SIZE(type);
const uchar* seed_ptr = img->data.ptr + img->step*seed_point.y + elem_size*seed_point.x;
// check if the new value is different from the current value at the seed point.
// if they are exactly the same, use the generic version with mask to avoid infinite loops.
for( i = 0; i < elem_size; i++ )
if( seed_ptr[i] != ((uchar*)nv_buf)[i] )
break;
if( i == elem_size )
return;*/
if( type == CV_8UC1 )
icvFloodFill_CnIR(img->data.ptr, img->step, size, seed_point, ((uchar*)nv_buf)[0],
comp, flags, buffer, buffer_size);
else if( type == CV_8UC3 )
icvFloodFill_CnIR(img->data.ptr, img->step, size, seed_point, ((cv::Vec3b*)nv_buf)[0],
comp, flags, buffer, buffer_size);
else if( type == CV_32SC1 )
icvFloodFill_CnIR(img->data.ptr, img->step, size, seed_point, ((int*)nv_buf)[0],
comp, flags, buffer, buffer_size);
else if( type == CV_32FC1 )
icvFloodFill_CnIR(img->data.ptr, img->step, size, seed_point, ((float*)nv_buf)[0],
comp, flags, buffer, buffer_size);
else if( type == CV_32SC3 )
icvFloodFill_CnIR(img->data.ptr, img->step, size, seed_point, ((cv::Vec3i*)nv_buf)[0],
comp, flags, buffer, buffer_size);
else if( type == CV_32FC3 )
icvFloodFill_CnIR(img->data.ptr, img->step, size, seed_point, ((cv::Vec3f*)nv_buf)[0],
comp, flags, buffer, buffer_size);
else
CV_Error( CV_StsUnsupportedFormat, "" );
return;
}
if( !mask )
{
/* created mask will be 8-byte aligned */
tempMask = cvCreateMat( size.height + 2, (size.width + 9) & -8, CV_8UC1 );
mask = tempMask;
}
else
{
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 if( depth == CV_32S )
for( i = 0; i < cn; i++ )
{
int t = cvFloor(lo_diff.val[i]);
ld_buf.i[i] = t;
t = cvFloor(up_diff.val[i]);
ud_buf.i[i] = t;
}
else if( depth == CV_32F )
for( i = 0; i < cn; i++ )
{
ld_buf.f[i] = (float)lo_diff.val[i];
ud_buf.f[i] = (float)up_diff.val[i];
}
else
CV_Error( CV_StsUnsupportedFormat, "" );
if( type == CV_8UC1 )
icvFloodFillGrad_CnIR<uchar, int, Diff8uC1>(
img->data.ptr, img->step, mask->data.ptr, mask->step,
size, seed_point, ((uchar*)nv_buf)[0],
Diff8uC1(ld_buf.b[0], ud_buf.b[0]),
comp, flags, buffer, buffer_size);
else if( type == CV_8UC3 )
icvFloodFillGrad_CnIR<cv::Vec3b, cv::Vec3i, Diff8uC3>(
img->data.ptr, img->step, mask->data.ptr, mask->step,
size, seed_point, ((cv::Vec3b*)nv_buf)[0],
Diff8uC3(ld_buf.b, ud_buf.b),
comp, flags, buffer, buffer_size);
else if( type == CV_32SC1 )
icvFloodFillGrad_CnIR<int, int, Diff32sC1>(
img->data.ptr, img->step, mask->data.ptr, mask->step,
size, seed_point, ((int*)nv_buf)[0],
Diff32sC1(ld_buf.i[0], ud_buf.i[0]),
comp, flags, buffer, buffer_size);
else if( type == CV_32SC3 )
icvFloodFillGrad_CnIR<cv::Vec3i, cv::Vec3i, Diff32sC3>(
img->data.ptr, img->step, mask->data.ptr, mask->step,
size, seed_point, ((cv::Vec3i*)nv_buf)[0],
Diff32sC3(ld_buf.i, ud_buf.i),
comp, flags, buffer, buffer_size);
else if( type == CV_32FC1 )
icvFloodFillGrad_CnIR<float, float, Diff32fC1>(
img->data.ptr, img->step, mask->data.ptr, mask->step,
size, seed_point, ((float*)nv_buf)[0],
Diff32fC1(ld_buf.f[0], ud_buf.f[0]),
comp, flags, buffer, buffer_size);
else if( type == CV_32FC3 )
icvFloodFillGrad_CnIR<cv::Vec3f, cv::Vec3f, Diff32fC3>(
img->data.ptr, img->step, mask->data.ptr, mask->step,
size, seed_point, ((cv::Vec3f*)nv_buf)[0],
Diff32fC3(ld_buf.f, ud_buf.f),
comp, flags, buffer, buffer_size);
else
CV_Error(CV_StsUnsupportedFormat, "");
}
int cv::floodFill( InputOutputArray _image, Point seedPoint,
Scalar newVal, Rect* rect,
Scalar loDiff, Scalar upDiff, int flags )
{
CvConnectedComp ccomp;
CvMat c_image = _image.getMat();
cvFloodFill(&c_image, seedPoint, newVal, loDiff, upDiff, &ccomp, flags, 0);
if( rect )
*rect = ccomp.rect;
return cvRound(ccomp.area);
}
int cv::floodFill( InputOutputArray _image, InputOutputArray _mask,
Point seedPoint, Scalar newVal, Rect* rect,
Scalar loDiff, Scalar upDiff, int flags )
{
CvConnectedComp ccomp;
CvMat c_image = _image.getMat(), c_mask = _mask.getMat();
cvFloodFill(&c_image, seedPoint, newVal, loDiff, upDiff, &ccomp, flags, c_mask.data.ptr ? &c_mask : 0);
if( rect )
*rect = ccomp.rect;
return cvRound(ccomp.area);
}
/* End of file. */