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Open Source Computer Vision Library
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385 lines
11 KiB
385 lines
11 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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#ifndef _CV_GCGRAPH_H_ |
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#define _CV_GCGRAPH_H_ |
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template <class TWeight> class GCGraph |
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{ |
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public: |
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GCGraph(); |
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GCGraph( unsigned int vtxCount, unsigned int edgeCount ); |
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~GCGraph(); |
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void create( unsigned int vtxCount, unsigned int edgeCount ); |
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int addVtx(); |
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void addEdges( int i, int j, TWeight w, TWeight revw ); |
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void addTermWeights( int i, TWeight sourceW, TWeight sinkW ); |
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TWeight maxFlow(); |
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bool inSourceSegment( int i ); |
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private: |
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class Vtx |
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{ |
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public: |
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Vtx *next; // initialized and used in maxFlow() only |
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int parent; |
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int first; |
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int ts; |
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int dist; |
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TWeight weight; |
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uchar t; |
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}; |
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class Edge |
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{ |
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public: |
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int dst; |
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int next; |
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TWeight weight; |
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}; |
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std::vector<Vtx> vtcs; |
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std::vector<Edge> edges; |
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TWeight flow; |
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}; |
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template <class TWeight> |
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GCGraph<TWeight>::GCGraph() |
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{ |
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flow = 0; |
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} |
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template <class TWeight> |
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GCGraph<TWeight>::GCGraph( unsigned int vtxCount, unsigned int edgeCount ) |
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{ |
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create( vtxCount, edgeCount ); |
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} |
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template <class TWeight> |
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GCGraph<TWeight>::~GCGraph() |
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{ |
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} |
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template <class TWeight> |
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void GCGraph<TWeight>::create( unsigned int vtxCount, unsigned int edgeCount ) |
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{ |
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vtcs.reserve( vtxCount ); |
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edges.reserve( edgeCount + 2 ); |
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flow = 0; |
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} |
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template <class TWeight> |
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int GCGraph<TWeight>::addVtx() |
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{ |
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Vtx v; |
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memset( &v, 0, sizeof(Vtx)); |
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vtcs.push_back(v); |
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return (int)vtcs.size() - 1; |
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} |
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template <class TWeight> |
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void GCGraph<TWeight>::addEdges( int i, int j, TWeight w, TWeight revw ) |
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{ |
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CV_Assert( i>=0 && i<(int)vtcs.size() ); |
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CV_Assert( j>=0 && j<(int)vtcs.size() ); |
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CV_Assert( w>=0 && revw>=0 ); |
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CV_Assert( i != j ); |
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if( !edges.size() ) |
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edges.resize( 2 ); |
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Edge fromI, toI; |
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fromI.dst = j; |
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fromI.next = vtcs[i].first; |
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fromI.weight = w; |
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vtcs[i].first = (int)edges.size(); |
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edges.push_back( fromI ); |
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toI.dst = i; |
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toI.next = vtcs[j].first; |
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toI.weight = revw; |
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vtcs[j].first = (int)edges.size(); |
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edges.push_back( toI ); |
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} |
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template <class TWeight> |
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void GCGraph<TWeight>::addTermWeights( int i, TWeight sourceW, TWeight sinkW ) |
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{ |
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CV_Assert( i>=0 && i<(int)vtcs.size() ); |
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TWeight dw = vtcs[i].weight; |
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if( dw > 0 ) |
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sourceW += dw; |
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else |
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sinkW -= dw; |
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flow += (sourceW < sinkW) ? sourceW : sinkW; |
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vtcs[i].weight = sourceW - sinkW; |
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} |
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template <class TWeight> |
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TWeight GCGraph<TWeight>::maxFlow() |
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{ |
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const int TERMINAL = -1, ORPHAN = -2; |
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Vtx stub, *nilNode = &stub, *first = nilNode, *last = nilNode; |
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int curr_ts = 0; |
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stub.next = nilNode; |
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Vtx *vtxPtr = &vtcs[0]; |
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Edge *edgePtr = &edges[0]; |
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std::vector<Vtx*> orphans; |
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// initialize the active queue and the graph vertices |
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for( int i = 0; i < (int)vtcs.size(); i++ ) |
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{ |
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Vtx* v = vtxPtr + i; |
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v->ts = 0; |
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if( v->weight != 0 ) |
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{ |
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last = last->next = v; |
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v->dist = 1; |
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v->parent = TERMINAL; |
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v->t = v->weight < 0; |
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} |
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else |
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v->parent = 0; |
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} |
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first = first->next; |
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last->next = nilNode; |
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nilNode->next = 0; |
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// run the search-path -> augment-graph -> restore-trees loop |
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for(;;) |
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{ |
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Vtx* v, *u; |
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int e0 = -1, ei = 0, ej = 0; |
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TWeight minWeight, weight; |
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uchar vt; |
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// grow S & T search trees, find an edge connecting them |
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while( first != nilNode ) |
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{ |
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v = first; |
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if( v->parent ) |
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{ |
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vt = v->t; |
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for( ei = v->first; ei != 0; ei = edgePtr[ei].next ) |
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{ |
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if( edgePtr[ei^vt].weight == 0 ) |
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continue; |
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u = vtxPtr+edgePtr[ei].dst; |
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if( !u->parent ) |
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{ |
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u->t = vt; |
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u->parent = ei ^ 1; |
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u->ts = v->ts; |
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u->dist = v->dist + 1; |
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if( !u->next ) |
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{ |
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u->next = nilNode; |
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last = last->next = u; |
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} |
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continue; |
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} |
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if( u->t != vt ) |
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{ |
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e0 = ei ^ vt; |
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break; |
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} |
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if( u->dist > v->dist+1 && u->ts <= v->ts ) |
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{ |
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// reassign the parent |
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u->parent = ei ^ 1; |
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u->ts = v->ts; |
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u->dist = v->dist + 1; |
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} |
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} |
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if( e0 > 0 ) |
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break; |
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} |
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// exclude the vertex from the active list |
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first = first->next; |
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v->next = 0; |
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} |
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if( e0 <= 0 ) |
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break; |
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// find the minimum edge weight along the path |
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minWeight = edgePtr[e0].weight; |
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CV_Assert( minWeight > 0 ); |
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// k = 1: source tree, k = 0: destination tree |
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for( int k = 1; k >= 0; k-- ) |
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{ |
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for( v = vtxPtr+edgePtr[e0^k].dst;; v = vtxPtr+edgePtr[ei].dst ) |
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{ |
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if( (ei = v->parent) < 0 ) |
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break; |
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weight = edgePtr[ei^k].weight; |
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minWeight = MIN(minWeight, weight); |
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CV_Assert( minWeight > 0 ); |
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} |
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weight = fabs(v->weight); |
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minWeight = MIN(minWeight, weight); |
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CV_Assert( minWeight > 0 ); |
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} |
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// modify weights of the edges along the path and collect orphans |
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edgePtr[e0].weight -= minWeight; |
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edgePtr[e0^1].weight += minWeight; |
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flow += minWeight; |
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// k = 1: source tree, k = 0: destination tree |
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for( int k = 1; k >= 0; k-- ) |
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{ |
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for( v = vtxPtr+edgePtr[e0^k].dst;; v = vtxPtr+edgePtr[ei].dst ) |
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{ |
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if( (ei = v->parent) < 0 ) |
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break; |
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edgePtr[ei^(k^1)].weight += minWeight; |
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if( (edgePtr[ei^k].weight -= minWeight) == 0 ) |
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{ |
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orphans.push_back(v); |
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v->parent = ORPHAN; |
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} |
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} |
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v->weight = v->weight + minWeight*(1-k*2); |
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if( v->weight == 0 ) |
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{ |
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orphans.push_back(v); |
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v->parent = ORPHAN; |
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} |
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} |
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// restore the search trees by finding new parents for the orphans |
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curr_ts++; |
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while( !orphans.empty() ) |
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{ |
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Vtx* v2 = orphans.back(); |
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orphans.pop_back(); |
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int d, minDist = INT_MAX; |
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e0 = 0; |
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vt = v2->t; |
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for( ei = v2->first; ei != 0; ei = edgePtr[ei].next ) |
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{ |
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if( edgePtr[ei^(vt^1)].weight == 0 ) |
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continue; |
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u = vtxPtr+edgePtr[ei].dst; |
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if( u->t != vt || u->parent == 0 ) |
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continue; |
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// compute the distance to the tree root |
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for( d = 0;; ) |
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{ |
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if( u->ts == curr_ts ) |
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{ |
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d += u->dist; |
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break; |
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} |
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ej = u->parent; |
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d++; |
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if( ej < 0 ) |
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{ |
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if( ej == ORPHAN ) |
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d = INT_MAX-1; |
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else |
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{ |
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u->ts = curr_ts; |
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u->dist = 1; |
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} |
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break; |
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} |
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u = vtxPtr+edgePtr[ej].dst; |
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} |
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// update the distance |
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if( ++d < INT_MAX ) |
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{ |
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if( d < minDist ) |
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{ |
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minDist = d; |
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e0 = ei; |
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} |
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for( u = vtxPtr+edgePtr[ei].dst; u->ts != curr_ts; u = vtxPtr+edgePtr[u->parent].dst ) |
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{ |
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u->ts = curr_ts; |
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u->dist = --d; |
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} |
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} |
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} |
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if( (v2->parent = e0) > 0 ) |
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{ |
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v2->ts = curr_ts; |
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v2->dist = minDist; |
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continue; |
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} |
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/* no parent is found */ |
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v2->ts = 0; |
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for( ei = v2->first; ei != 0; ei = edgePtr[ei].next ) |
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{ |
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u = vtxPtr+edgePtr[ei].dst; |
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ej = u->parent; |
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if( u->t != vt || !ej ) |
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continue; |
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if( edgePtr[ei^(vt^1)].weight && !u->next ) |
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{ |
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u->next = nilNode; |
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last = last->next = u; |
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} |
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if( ej > 0 && vtxPtr+edgePtr[ej].dst == v2 ) |
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{ |
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orphans.push_back(u); |
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u->parent = ORPHAN; |
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} |
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} |
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} |
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} |
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return flow; |
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} |
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template <class TWeight> |
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bool GCGraph<TWeight>::inSourceSegment( int i ) |
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{ |
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CV_Assert( i>=0 && i<(int)vtcs.size() ); |
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return vtcs[i].t == 0; |
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} |
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#endif
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