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Open Source Computer Vision Library
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649 lines
22 KiB
649 lines
22 KiB
/*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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{ \ |
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buffer->resize(buffer->size() * 2); \ |
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tail = &buffer->front() + (tail - head); \ |
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head = &buffer->front(); \ |
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buffer_end = head + buffer->size(); \ |
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} \ |
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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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--tail; \ |
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Y = tail->y; \ |
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L = tail->l; \ |
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R = tail->r; \ |
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PREV_L = tail->prevl; \ |
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PREV_R = tail->prevr; \ |
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DIR = tail->dir; \ |
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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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std::vector<CvFFillSegment>* buffer ) |
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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->front() + buffer->size(), *head = &buffer->front(), *tail = &buffer->front(); |
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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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|
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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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std::vector<CvFFillSegment>* buffer ) |
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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->front() + buffer->size(), *head = &buffer->front(), *tail = &buffer->front(); |
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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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if( !mask[i] && |
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(((val = img[i], |
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(unsigned)(idx = i-L-1) <= length) && |
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diff( &val, img1 + (i-1))) || |
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((unsigned)(++idx) <= length && |
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diff( &val, img1 + i )) || |
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((unsigned)(++idx) <= length && |
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diff( &val, img1 + (i+1) )))) |
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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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((val = img[i], |
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diff( &val, img + (i-1) )) || |
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(((unsigned)(idx = i-L-1) <= length && |
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diff( &val, img1 + (i-1) ))) || |
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((unsigned)(++idx) <= length && |
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diff( &val, img1 + i )) || |
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((unsigned)(++idx) <= length && |
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diff( &val, img1 + (i+1) )))) |
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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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} |
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img = (_Tp*)(pImage + YC * step); |
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if( fillImage ) |
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for( i = L; i <= R; i++ ) |
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img[i] = newVal; |
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else if( region ) |
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for( i = L; i <= R; i++ ) |
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sum += img[i]; |
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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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if( fillImage ) |
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region->value = cv::Scalar(newVal); |
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else |
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{ |
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double iarea = area ? 1./area : 0; |
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region->value = cv::Scalar(sum*iarea); |
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} |
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} |
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} |
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/****************************************************************************************\ |
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* External Functions * |
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\****************************************************************************************/ |
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typedef void (*CvFloodFillFunc)( |
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void* img, int step, CvSize size, CvPoint seed, void* newval, |
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CvConnectedComp* comp, int flags, void* buffer, int cn ); |
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typedef void (*CvFloodFillGradFunc)( |
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void* img, int step, uchar* mask, int maskStep, CvSize size, |
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CvPoint seed, void* newval, void* d_lw, void* d_up, void* ccomp, |
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int flags, void* buffer, int cn ); |
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CV_IMPL void |
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cvFloodFill( CvArr* arr, CvPoint seed_point, |
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CvScalar newVal, CvScalar lo_diff, CvScalar up_diff, |
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CvConnectedComp* comp, int flags, CvArr* maskarr ) |
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{ |
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cv::Ptr<CvMat> tempMask; |
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std::vector<CvFFillSegment> buffer; |
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if( comp ) |
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memset( comp, 0, sizeof(*comp) ); |
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int i, type, depth, cn, is_simple; |
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int buffer_size, connectivity = flags & 255; |
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union { |
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uchar b[4]; |
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int i[4]; |
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float f[4]; |
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double _[4]; |
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} nv_buf; |
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nv_buf._[0] = nv_buf._[1] = nv_buf._[2] = nv_buf._[3] = 0; |
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struct { cv::Vec3b b; cv::Vec3i i; cv::Vec3f f; } ld_buf, ud_buf; |
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CvMat stub, *img = cvGetMat(arr, &stub); |
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CvMat maskstub, *mask = (CvMat*)maskarr; |
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CvSize size; |
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type = CV_MAT_TYPE( img->type ); |
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depth = CV_MAT_DEPTH(type); |
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cn = CV_MAT_CN(type); |
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if( connectivity == 0 ) |
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connectivity = 4; |
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else if( connectivity != 4 && connectivity != 8 ) |
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CV_Error( CV_StsBadFlag, "Connectivity must be 4, 0(=4) or 8" ); |
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is_simple = mask == 0 && (flags & CV_FLOODFILL_MASK_ONLY) == 0; |
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for( i = 0; i < cn; i++ ) |
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{ |
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if( lo_diff.val[i] < 0 || up_diff.val[i] < 0 ) |
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CV_Error( CV_StsBadArg, "lo_diff and up_diff must be non-negative" ); |
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is_simple &= fabs(lo_diff.val[i]) < DBL_EPSILON && fabs(up_diff.val[i]) < DBL_EPSILON; |
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} |
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size = cvGetMatSize( img ); |
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if( (unsigned)seed_point.x >= (unsigned)size.width || |
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(unsigned)seed_point.y >= (unsigned)size.height ) |
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CV_Error( CV_StsOutOfRange, "Seed point is outside of image" ); |
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cvScalarToRawData( &newVal, &nv_buf, type, 0 ); |
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buffer_size = MAX( size.width, size.height ) * 2; |
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buffer.resize( buffer_size ); |
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if( is_simple ) |
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{ |
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int elem_size = CV_ELEM_SIZE(type); |
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const uchar* seed_ptr = img->data.ptr + img->step*seed_point.y + elem_size*seed_point.x; |
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for(i = 0; i < elem_size; i++) |
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if (seed_ptr[i] != nv_buf.b[i]) |
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break; |
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if (i != elem_size) |
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{ |
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if( type == CV_8UC1 ) |
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icvFloodFill_CnIR(img->data.ptr, img->step, size, seed_point, nv_buf.b[0], |
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comp, flags, &buffer); |
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else if( type == CV_8UC3 ) |
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icvFloodFill_CnIR(img->data.ptr, img->step, size, seed_point, cv::Vec3b(nv_buf.b), |
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comp, flags, &buffer); |
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else if( type == CV_32SC1 ) |
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icvFloodFill_CnIR(img->data.ptr, img->step, size, seed_point, nv_buf.i[0], |
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comp, flags, &buffer); |
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else if( type == CV_32FC1 ) |
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icvFloodFill_CnIR(img->data.ptr, img->step, size, seed_point, nv_buf.f[0], |
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comp, flags, &buffer); |
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else if( type == CV_32SC3 ) |
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icvFloodFill_CnIR(img->data.ptr, img->step, size, seed_point, cv::Vec3i(nv_buf.i), |
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comp, flags, &buffer); |
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else if( type == CV_32FC3 ) |
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icvFloodFill_CnIR(img->data.ptr, img->step, size, seed_point, cv::Vec3f(nv_buf.f), |
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comp, flags, &buffer); |
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else |
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CV_Error( CV_StsUnsupportedFormat, "" ); |
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return; |
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} |
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} |
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|
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if( !mask ) |
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{ |
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/* created mask will be 8-byte aligned */ |
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tempMask = cvCreateMat( size.height + 2, (size.width + 9) & -8, CV_8UC1 ); |
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mask = tempMask; |
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} |
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else |
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{ |
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mask = cvGetMat( mask, &maskstub ); |
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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); |
|
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); |
|
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); |
|
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); |
|
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); |
|
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); |
|
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. */
|
|
|