/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // Intel License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000, Intel Corporation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * 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, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of Intel Corporation may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //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 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 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 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 Diff32sC1; typedef DiffC3 Diff32sC3; typedef DiffC1 Diff32fC1; typedef DiffC3 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 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 tempMask; cv::AutoBuffer 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( 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( 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( 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( 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( 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( 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. */