/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "seam_finders.hpp" #include "util.hpp" using namespace std; using namespace cv; Ptr SeamFinder::createDefault(int type) { if (type == NO) return new NoSeamFinder(); if (type == VORONOI) return new VoronoiSeamFinder(); if (type == GC_COLOR) return new GraphCutSeamFinder(GraphCutSeamFinder::COST_COLOR); if (type == GC_COLOR_GRAD) return new GraphCutSeamFinder(GraphCutSeamFinder::COST_COLOR_GRAD); CV_Error(CV_StsBadArg, "unsupported seam finding method"); return NULL; } void PairwiseSeamFinder::find(const vector &src, const vector &corners, vector &masks) { if (src.size() == 0) return; images_ = src; corners_ = corners; masks_ = masks; for (size_t i = 0; i < src.size() - 1; ++i) { for (size_t j = i + 1; j < src.size(); ++j) { Rect roi; if (overlapRoi(corners[i], corners[j], src[i].size(), src[j].size(), roi)) findInPair(i, j, roi); } } } void VoronoiSeamFinder::findInPair(size_t first, size_t second, Rect roi) { const int gap = 10; Mat submask1(roi.height + 2 * gap, roi.width + 2 * gap, CV_8U); Mat submask2(roi.height + 2 * gap, roi.width + 2 * gap, CV_8U); Mat img1 = images_[first], img2 = images_[second]; Mat mask1 = masks_[first], mask2 = masks_[second]; Point tl1 = corners_[first], tl2 = corners_[second]; // Cut submasks with some gap for (int y = -gap; y < roi.height + gap; ++y) { for (int x = -gap; x < roi.width + gap; ++x) { int y1 = roi.y - tl1.y + y; int x1 = roi.x - tl1.x + x; if (y1 >= 0 && x1 >= 0 && y1 < img1.rows && x1 < img1.cols) submask1.at(y + gap, x + gap) = mask1.at(y1, x1); else submask1.at(y + gap, x + gap) = 0; int y2 = roi.y - tl2.y + y; int x2 = roi.x - tl2.x + x; if (y2 >= 0 && x2 >= 0 && y2 < img2.rows && x2 < img2.cols) submask2.at(y + gap, x + gap) = mask2.at(y2, x2); else submask2.at(y + gap, x + gap) = 0; } } Mat collision = (submask1 != 0) & (submask2 != 0); Mat unique1 = submask1.clone(); unique1.setTo(0, collision); Mat unique2 = submask2.clone(); unique2.setTo(0, collision); Mat dist1, dist2; distanceTransform(unique1 == 0, dist1, CV_DIST_L1, 3); distanceTransform(unique2 == 0, dist2, CV_DIST_L1, 3); Mat seam = dist1 < dist2; for (int y = 0; y < roi.height; ++y) { for (int x = 0; x < roi.width; ++x) { if (seam.at(y + gap, x + gap)) mask2.at(roi.y - tl2.y + y, roi.x - tl2.x + x) = 0; else mask1.at(roi.y - tl1.y + y, roi.x - tl1.x + x) = 0; } } } class GraphCutSeamFinder::Impl : public PairwiseSeamFinder { public: Impl(int cost_type, float terminal_cost, float bad_region_penalty) : cost_type_(cost_type), terminal_cost_(terminal_cost), bad_region_penalty_(bad_region_penalty) {} void find(const vector &src, const vector &corners, vector &masks); void findInPair(size_t first, size_t second, Rect roi); private: void setGraphWeightsColor(const Mat &img1, const Mat &img2, const Mat &mask1, const Mat &mask2, GCGraph &graph); void setGraphWeightsColorGrad(const Mat &img1, const Mat &img2, const Mat &dx1, const Mat &dx2, const Mat &dy1, const Mat &dy2, const Mat &mask1, const Mat &mask2, GCGraph &graph); vector dx_, dy_; int cost_type_; float terminal_cost_; float bad_region_penalty_; }; void GraphCutSeamFinder::Impl::find(const vector &src, const vector &corners, vector &masks) { // Compute gradients dx_.resize(src.size()); dy_.resize(src.size()); Mat dx, dy; for (size_t i = 0; i < src.size(); ++i) { CV_Assert(src[i].channels() == 3); Sobel(src[i], dx, CV_32F, 1, 0); Sobel(src[i], dy, CV_32F, 0, 1); dx_[i].create(src[i].size(), CV_32F); dy_[i].create(src[i].size(), CV_32F); for (int y = 0; y < src[i].rows; ++y) { const Point3f* dx_row = dx.ptr(y); const Point3f* dy_row = dy.ptr(y); float* dx_row_ = dx_[i].ptr(y); float* dy_row_ = dy_[i].ptr(y); for (int x = 0; x < src[i].cols; ++x) { dx_row_[x] = normL2(dx_row[x]); dy_row_[x] = normL2(dy_row[x]); } } } PairwiseSeamFinder::find(src, corners, masks); } void GraphCutSeamFinder::Impl::setGraphWeightsColor(const Mat &img1, const Mat &img2, const Mat &mask1, const Mat &mask2, GCGraph &graph) { const Size img_size = img1.size(); // Set terminal weights for (int y = 0; y < img_size.height; ++y) { for (int x = 0; x < img_size.width; ++x) { int v = graph.addVtx(); graph.addTermWeights(v, mask1.at(y, x) ? terminal_cost_ : 0.f, mask2.at(y, x) ? terminal_cost_ : 0.f); } } // Set regular edge weights const float weight_eps = 1e-3f; for (int y = 0; y < img_size.height; ++y) { for (int x = 0; x < img_size.width; ++x) { int v = y * img_size.width + x; if (x < img_size.width - 1) { float weight = normL2(img1.at(y, x), img2.at(y, x)) + normL2(img1.at(y, x + 1), img2.at(y, x + 1)) + weight_eps; if (!mask1.at(y, x) || !mask1.at(y, x + 1) || !mask2.at(y, x) || !mask2.at(y, x + 1)) weight += bad_region_penalty_; graph.addEdges(v, v + 1, weight, weight); } if (y < img_size.height - 1) { float weight = normL2(img1.at(y, x), img2.at(y, x)) + normL2(img1.at(y + 1, x), img2.at(y + 1, x)) + weight_eps; if (!mask1.at(y, x) || !mask1.at(y + 1, x) || !mask2.at(y, x) || !mask2.at(y + 1, x)) weight += bad_region_penalty_; graph.addEdges(v, v + img_size.width, weight, weight); } } } } void GraphCutSeamFinder::Impl::setGraphWeightsColorGrad( const Mat &img1, const Mat &img2, const Mat &dx1, const Mat &dx2, const Mat &dy1, const Mat &dy2, const Mat &mask1, const Mat &mask2, GCGraph &graph) { const Size img_size = img1.size(); // Set terminal weights for (int y = 0; y < img_size.height; ++y) { for (int x = 0; x < img_size.width; ++x) { int v = graph.addVtx(); graph.addTermWeights(v, mask1.at(y, x) ? terminal_cost_ : 0.f, mask2.at(y, x) ? terminal_cost_ : 0.f); } } // Set regular edge weights const float weight_eps = 1e-3f; for (int y = 0; y < img_size.height; ++y) { for (int x = 0; x < img_size.width; ++x) { int v = y * img_size.width + x; if (x < img_size.width - 1) { float grad = dx1.at(y, x) + dx1.at(y, x + 1) + dx2.at(y, x) + dx2.at(y, x + 1) + weight_eps; float weight = (normL2(img1.at(y, x), img2.at(y, x)) + normL2(img1.at(y, x + 1), img2.at(y, x + 1))) / grad + weight_eps; if (!mask1.at(y, x) || !mask1.at(y, x + 1) || !mask2.at(y, x) || !mask2.at(y, x + 1)) weight += bad_region_penalty_; graph.addEdges(v, v + 1, weight, weight); } if (y < img_size.height - 1) { float grad = dy1.at(y, x) + dy1.at(y + 1, x) + dy2.at(y, x) + dy2.at(y + 1, x) + weight_eps; float weight = (normL2(img1.at(y, x), img2.at(y, x)) + normL2(img1.at(y + 1, x), img2.at(y + 1, x))) / grad + weight_eps; if (!mask1.at(y, x) || !mask1.at(y + 1, x) || !mask2.at(y, x) || !mask2.at(y + 1, x)) weight += bad_region_penalty_; graph.addEdges(v, v + img_size.width, weight, weight); } } } } void GraphCutSeamFinder::Impl::findInPair(size_t first, size_t second, Rect roi) { Mat img1 = images_[first], img2 = images_[second]; Mat dx1 = dx_[first], dx2 = dx_[second]; Mat dy1 = dy_[first], dy2 = dy_[second]; Mat mask1 = masks_[first], mask2 = masks_[second]; Point tl1 = corners_[first], tl2 = corners_[second]; const int gap = 10; Mat subimg1(roi.height + 2 * gap, roi.width + 2 * gap, CV_32FC3); Mat subimg2(roi.height + 2 * gap, roi.width + 2 * gap, CV_32FC3); Mat submask1(roi.height + 2 * gap, roi.width + 2 * gap, CV_8U); Mat submask2(roi.height + 2 * gap, roi.width + 2 * gap, CV_8U); Mat subdx1(roi.height + 2 * gap, roi.width + 2 * gap, CV_32F); Mat subdy1(roi.height + 2 * gap, roi.width + 2 * gap, CV_32F); Mat subdx2(roi.height + 2 * gap, roi.width + 2 * gap, CV_32F); Mat subdy2(roi.height + 2 * gap, roi.width + 2 * gap, CV_32F); // Cut subimages and submasks with some gap for (int y = -gap; y < roi.height + gap; ++y) { for (int x = -gap; x < roi.width + gap; ++x) { int y1 = roi.y - tl1.y + y; int x1 = roi.x - tl1.x + x; if (y1 >= 0 && x1 >= 0 && y1 < img1.rows && x1 < img1.cols) { subimg1.at(y + gap, x + gap) = img1.at(y1, x1); submask1.at(y + gap, x + gap) = mask1.at(y1, x1); subdx1.at(y + gap, x + gap) = dx1.at(y1, x1); subdy1.at(y + gap, x + gap) = dy1.at(y1, x1); } else { subimg1.at(y + gap, x + gap) = Point3f(0, 0, 0); submask1.at(y + gap, x + gap) = 0; subdx1.at(y + gap, x + gap) = 0.f; subdy1.at(y + gap, x + gap) = 0.f; } int y2 = roi.y - tl2.y + y; int x2 = roi.x - tl2.x + x; if (y2 >= 0 && x2 >= 0 && y2 < img2.rows && x2 < img2.cols) { subimg2.at(y + gap, x + gap) = img2.at(y2, x2); submask2.at(y + gap, x + gap) = mask2.at(y2, x2); subdx2.at(y + gap, x + gap) = dx2.at(y2, x2); subdy2.at(y + gap, x + gap) = dy2.at(y2, x2); } else { subimg2.at(y + gap, x + gap) = Point3f(0, 0, 0); submask2.at(y + gap, x + gap) = 0; subdx2.at(y + gap, x + gap) = 0.f; subdy2.at(y + gap, x + gap) = 0.f; } } } const int vertex_count = (roi.height + 2 * gap) * (roi.width + 2 * gap); const int edge_count = (roi.height - 1 + 2 * gap) * (roi.width + 2 * gap) + (roi.width - 1 + 2 * gap) * (roi.height + 2 * gap); GCGraph graph(vertex_count, edge_count); switch (cost_type_) { case GraphCutSeamFinder::COST_COLOR: setGraphWeightsColor(subimg1, subimg2, submask1, submask2, graph); break; case GraphCutSeamFinder::COST_COLOR_GRAD: setGraphWeightsColorGrad(subimg1, subimg2, subdx1, subdx2, subdy1, subdy2, submask1, submask2, graph); break; default: CV_Error(CV_StsBadArg, "unsupported pixel similarity measure"); } graph.maxFlow(); for (int y = 0; y < roi.height; ++y) { for (int x = 0; x < roi.width; ++x) { if (graph.inSourceSegment((y + gap) * (roi.width + 2 * gap) + x + gap)) { if (mask1.at(roi.y - tl1.y + y, roi.x - tl1.x + x)) mask2.at(roi.y - tl2.y + y, roi.x - tl2.x + x) = 0; } else { if (mask2.at(roi.y - tl2.y + y, roi.x - tl2.x + x)) mask1.at(roi.y - tl1.y + y, roi.x - tl1.x + x) = 0; } } } } GraphCutSeamFinder::GraphCutSeamFinder(int cost_type, float terminal_cost, float bad_region_penalty) : impl_(new Impl(cost_type, terminal_cost, bad_region_penalty)) {} void GraphCutSeamFinder::find(const vector &src, const vector &corners, vector &masks) { impl_->find(src, corners, masks); }