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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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typedef struct CvFFillSegment
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{
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ushort y;
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ushort l;
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ushort r;
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ushort prevl;
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ushort prevr;
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short dir;
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}
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CvFFillSegment;
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#define UP 1
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#define DOWN -1
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#define ICV_PUSH( Y, L, R, PREV_L, PREV_R, DIR )\
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{ \
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tail->y = (ushort)(Y); \
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tail->l = (ushort)(L); \
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tail->r = (ushort)(R); \
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tail->prevl = (ushort)(PREV_L); \
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tail->prevr = (ushort)(PREV_R); \
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tail->dir = (short)(DIR); \
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if( ++tail >= buffer_end ) \
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tail = buffer; \
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}
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#define ICV_POP( Y, L, R, PREV_L, PREV_R, DIR ) \
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{ \
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Y = head->y; \
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L = head->l; \
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R = head->r; \
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PREV_L = head->prevl; \
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PREV_R = head->prevr; \
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DIR = head->dir; \
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if( ++head >= buffer_end ) \
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head = buffer; \
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}
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/****************************************************************************************\
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* Simple Floodfill (repainting single-color connected component) *
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\****************************************************************************************/
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template<typename _Tp>
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static void
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icvFloodFill_CnIR( uchar* pImage, int step, CvSize roi, CvPoint seed,
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_Tp newVal, CvConnectedComp* region, int flags,
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CvFFillSegment* buffer, int buffer_size )
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{
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typedef typename cv::DataType<_Tp>::channel_type _CTp;
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_Tp* img = (_Tp*)(pImage + step * seed.y);
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int i, L, R;
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int area = 0;
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int XMin, XMax, YMin = seed.y, YMax = seed.y;
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int _8_connectivity = (flags & 255) == 8;
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CvFFillSegment* buffer_end = buffer + buffer_size, *head = buffer, *tail = buffer;
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L = R = XMin = XMax = seed.x;
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_Tp val0 = img[L];
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img[L] = newVal;
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while( ++R < roi.width && img[R] == val0 )
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img[R] = newVal;
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while( --L >= 0 && img[L] == val0 )
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img[L] = newVal;
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XMax = --R;
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XMin = ++L;
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ICV_PUSH( seed.y, L, R, R + 1, R, UP );
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while( head != tail )
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{
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int k, YC, PL, PR, dir;
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ICV_POP( YC, L, R, PL, PR, dir );
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int data[][3] =
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{
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{-dir, L - _8_connectivity, R + _8_connectivity},
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{dir, L - _8_connectivity, PL - 1},
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{dir, PR + 1, R + _8_connectivity}
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};
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if( region )
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{
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area += R - L + 1;
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if( XMax < R ) XMax = R;
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if( XMin > L ) XMin = L;
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if( YMax < YC ) YMax = YC;
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if( YMin > YC ) YMin = YC;
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}
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for( k = 0; k < 3; k++ )
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{
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dir = data[k][0];
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img = (_Tp*)(pImage + (YC + dir) * step);
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int left = data[k][1];
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int right = data[k][2];
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if( (unsigned)(YC + dir) >= (unsigned)roi.height )
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continue;
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for( i = left; i <= right; i++ )
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{
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if( (unsigned)i < (unsigned)roi.width && img[i] == val0 )
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{
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int j = i;
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img[i] = newVal;
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while( --j >= 0 && img[j] == val0 )
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img[j] = newVal;
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while( ++i < roi.width && img[i] == val0 )
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img[i] = newVal;
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ICV_PUSH( YC + dir, j+1, i-1, L, R, -dir );
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}
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}
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}
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}
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if( region )
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{
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region->area = area;
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region->rect.x = XMin;
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region->rect.y = YMin;
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region->rect.width = XMax - XMin + 1;
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region->rect.height = YMax - YMin + 1;
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region->value = cv::Scalar(newVal);
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}
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}
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/****************************************************************************************\
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* Gradient Floodfill *
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\****************************************************************************************/
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struct Diff8uC1
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{
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Diff8uC1(uchar _lo, uchar _up) : lo(_lo), interval(_lo + _up) {}
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bool operator()(const uchar* a, const uchar* b) const
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{ return (unsigned)(a[0] - b[0] + lo) <= interval; }
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unsigned lo, interval;
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};
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struct Diff8uC3
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{
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Diff8uC3(cv::Vec3b _lo, cv::Vec3b _up)
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{
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for( int k = 0; k < 3; k++ )
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lo[k] = _lo[k], interval[k] = _lo[k] + _up[k];
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}
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bool operator()(const cv::Vec3b* a, const cv::Vec3b* b) const
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{
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return (unsigned)(a[0][0] - b[0][0] + lo[0]) <= interval[0] &&
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(unsigned)(a[0][1] - b[0][1] + lo[1]) <= interval[1] &&
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(unsigned)(a[0][2] - b[0][2] + lo[2]) <= interval[2];
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}
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unsigned lo[3], interval[3];
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};
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template<typename _Tp>
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struct DiffC1
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{
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DiffC1(_Tp _lo, _Tp _up) : lo(-_lo), up(_up) {}
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bool operator()(const _Tp* a, const _Tp* b) const
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{
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_Tp d = a[0] - b[0];
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return lo <= d && d <= up;
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}
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_Tp lo, up;
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};
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template<typename _Tp>
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struct DiffC3
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{
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DiffC3(_Tp _lo, _Tp _up) : lo(-_lo), up(_up) {}
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bool operator()(const _Tp* a, const _Tp* b) const
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{
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_Tp d = *a - *b;
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return lo[0] <= d[0] && d[0] <= up[0] &&
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lo[1] <= d[1] && d[1] <= up[1] &&
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lo[2] <= d[2] && d[2] <= up[2];
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}
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_Tp lo, up;
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};
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typedef DiffC1<int> Diff32sC1;
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typedef DiffC3<cv::Vec3i> Diff32sC3;
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typedef DiffC1<float> Diff32fC1;
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typedef DiffC3<cv::Vec3f> Diff32fC3;
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static cv::Vec3i& operator += (cv::Vec3i& a, const cv::Vec3b& b)
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{
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a[0] += b[0];
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a[1] += b[1];
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a[2] += b[2];
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return a;
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}
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template<typename _Tp, typename _WTp, class Diff>
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static void
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icvFloodFillGrad_CnIR( uchar* pImage, int step, uchar* pMask, int maskStep,
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CvSize /*roi*/, CvPoint seed, _Tp newVal, Diff diff,
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CvConnectedComp* region, int flags,
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CvFFillSegment* buffer, int buffer_size )
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{
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typedef typename cv::DataType<_Tp>::channel_type _CTp;
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_Tp* img = (_Tp*)(pImage + step*seed.y);
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uchar* mask = (pMask += maskStep + 1) + maskStep*seed.y;
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int i, L, R;
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int area = 0;
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_WTp sum = _WTp((typename cv::DataType<_Tp>::channel_type)0);
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int XMin, XMax, YMin = seed.y, YMax = seed.y;
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int _8_connectivity = (flags & 255) == 8;
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int fixedRange = flags & CV_FLOODFILL_FIXED_RANGE;
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int fillImage = (flags & CV_FLOODFILL_MASK_ONLY) == 0;
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uchar newMaskVal = (uchar)(flags & 0xff00 ? flags >> 8 : 1);
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CvFFillSegment* buffer_end = buffer + buffer_size, *head = buffer, *tail = buffer;
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L = R = seed.x;
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if( mask[L] )
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return;
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mask[L] = newMaskVal;
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_Tp val0 = img[L];
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if( fixedRange )
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{
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while( !mask[R + 1] && diff( img + (R+1), &val0 ))
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mask[++R] = newMaskVal;
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while( !mask[L - 1] && diff( img + (L-1), &val0 ))
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mask[--L] = newMaskVal;
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}
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else
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{
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while( !mask[R + 1] && diff( img + (R+1), img + R ))
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mask[++R] = newMaskVal;
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while( !mask[L - 1] && diff( img + (L-1), img + L ))
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mask[--L] = newMaskVal;
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}
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XMax = R;
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XMin = L;
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ICV_PUSH( seed.y, L, R, R + 1, R, UP );
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while( head != tail )
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{
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int k, YC, PL, PR, dir;
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ICV_POP( YC, L, R, PL, PR, dir );
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int data[][3] =
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{
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{-dir, L - _8_connectivity, R + _8_connectivity},
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{dir, L - _8_connectivity, PL - 1},
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{dir, PR + 1, R + _8_connectivity}
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};
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unsigned length = (unsigned)(R-L);
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if( region )
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{
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area += (int)length + 1;
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if( XMax < R ) XMax = R;
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if( XMin > L ) XMin = L;
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if( YMax < YC ) YMax = YC;
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if( YMin > YC ) YMin = YC;
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}
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for( k = 0; k < 3; k++ )
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{
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dir = data[k][0];
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img = (_Tp*)(pImage + (YC + dir) * step);
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_Tp* img1 = (_Tp*)(pImage + YC * step);
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mask = pMask + (YC + dir) * maskStep;
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int left = data[k][1];
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int right = data[k][2];
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if( fixedRange )
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for( i = left; i <= right; i++ )
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{
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if( !mask[i] && diff( img + i, &val0 ))
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{
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int j = i;
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mask[i] = newMaskVal;
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while( !mask[--j] && diff( img + j, &val0 ))
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mask[j] = newMaskVal;
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while( !mask[++i] && diff( img + i, &val0 ))
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mask[i] = newMaskVal;
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ICV_PUSH( YC + dir, j+1, i-1, L, R, -dir );
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}
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}
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else if( !_8_connectivity )
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for( i = left; i <= right; i++ )
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{
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if( !mask[i] && diff( img + i, img1 + i ))
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{
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int j = i;
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mask[i] = newMaskVal;
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while( !mask[--j] && diff( img + j, img + (j+1) ))
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mask[j] = newMaskVal;
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while( !mask[++i] &&
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(diff( img + i, img + (i-1) ) ||
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(diff( img + i, img1 + i) && i <= R)))
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mask[i] = newMaskVal;
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ICV_PUSH( YC + dir, j+1, i-1, L, R, -dir );
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}
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}
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else
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|
|
for( i = left; i <= right; i++ )
|
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|
|
{
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|
|
int idx;
|
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|
|
_Tp val;
|
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|
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|
|
if( !mask[i] &&
|
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|
|
(((val = img[i],
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|
|
(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;
|
|
|
|
union {
|
|
|
|
uchar b[4];
|
|
|
|
int i[4];
|
|
|
|
float f[4];
|
|
|
|
double _[4];
|
|
|
|
} nv_buf;
|
|
|
|
nv_buf._[0] = nv_buf._[1] = nv_buf._[2] = nv_buf._[3] = 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;
|
|
|
|
|
|
|
|
for(i = 0; i < elem_size; i++)
|
|
|
|
if (seed_ptr[i] != nv_buf.b[i])
|
|
|
|
break;
|
|
|
|
|
|
|
|
if (i != elem_size)
|
|
|
|
{
|
|
|
|
if( type == CV_8UC1 )
|
|
|
|
icvFloodFill_CnIR(img->data.ptr, img->step, size, seed_point, nv_buf.b[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.b),
|
|
|
|
comp, flags, buffer, buffer_size);
|
|
|
|
else if( type == CV_32SC1 )
|
|
|
|
icvFloodFill_CnIR(img->data.ptr, img->step, size, seed_point, nv_buf.i[0],
|
|
|
|
comp, flags, buffer, buffer_size);
|
|
|
|
else if( type == CV_32FC1 )
|
|
|
|
icvFloodFill_CnIR(img->data.ptr, img->step, size, seed_point, nv_buf.f[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.i),
|
|
|
|
comp, flags, buffer, buffer_size);
|
|
|
|
else if( type == CV_32FC3 )
|
|
|
|
icvFloodFill_CnIR(img->data.ptr, img->step, size, seed_point, cv::Vec3f(nv_buf.f),
|
|
|
|
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, nv_buf.b[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.b),
|
|
|
|
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, nv_buf.i[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.i),
|
|
|
|
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, nv_buf.f[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.f),
|
|
|
|
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. */
|