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297 lines
11 KiB
C++
297 lines
11 KiB
C++
/*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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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., 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 the copyright holders 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 "seam_finders.hpp"
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#include "util.hpp"
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using namespace std;
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using namespace cv;
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Ptr<SeamFinder> SeamFinder::createDefault(int type)
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{
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if (type == NO)
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return new NoSeamFinder();
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if (type == VORONOI)
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return new VoronoiSeamFinder();
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if (type == GRAPH_CUT)
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return new GraphCutSeamFinder();
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CV_Error(CV_StsBadArg, "unsupported seam finding method");
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return NULL;
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}
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void PairwiseSeamFinder::find(const vector<Mat> &src, const vector<Point> &corners,
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vector<Mat> &masks)
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{
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if (src.size() == 0)
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return;
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for (size_t i = 0; i < src.size() - 1; ++i)
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{
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for (size_t j = i + 1; j < src.size(); ++j)
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{
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int x_min = max(corners[i].x, corners[j].x);
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int x_max = min(corners[i].x + src[i].cols - 1, corners[j].x + src[j].cols - 1);
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int y_min = max(corners[i].y, corners[j].y);
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int y_max = min(corners[i].y + src[i].rows - 1, corners[j].y + src[j].rows - 1);
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if (x_max >= x_min && y_max >= y_min)
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findInPair(src[i], src[j], corners[i], corners[j],
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Rect(x_min, y_min, x_max - x_min + 1, y_max - y_min + 1),
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masks[i], masks[j]);
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}
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}
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}
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void VoronoiSeamFinder::findInPair(const Mat &img1, const Mat &img2, Point tl1, Point tl2,
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Rect roi, Mat &mask1, Mat &mask2)
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{
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const int gap = 10;
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Mat submask1(roi.height + 2 * gap, roi.width + 2 * gap, CV_8U);
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Mat submask2(roi.height + 2 * gap, roi.width + 2 * gap, CV_8U);
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// Cut submasks with some gap
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for (int y = -gap; y < roi.height + gap; ++y)
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{
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for (int x = -gap; x < roi.width + gap; ++x)
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{
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int y1 = roi.y - tl1.y + y;
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int x1 = roi.x - tl1.x + x;
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if (y1 >= 0 && x1 >= 0 && y1 < img1.rows && x1 < img1.cols)
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submask1.at<uchar>(y + gap, x + gap) = mask1.at<uchar>(y1, x1);
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else
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submask1.at<uchar>(y + gap, x + gap) = 0;
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int y2 = roi.y - tl2.y + y;
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int x2 = roi.x - tl2.x + x;
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if (y2 >= 0 && x2 >= 0 && y2 < img2.rows && x2 < img2.cols)
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submask2.at<uchar>(y + gap, x + gap) = mask2.at<uchar>(y2, x2);
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else
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submask2.at<uchar>(y + gap, x + gap) = 0;
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}
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}
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Mat collision = (submask1 != 0) & (submask2 != 0);
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Mat unique1 = submask1.clone(); unique1.setTo(0, collision);
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Mat unique2 = submask2.clone(); unique2.setTo(0, collision);
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Mat dist1, dist2;
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distanceTransform(unique1 == 0, dist1, CV_DIST_L1, 3);
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distanceTransform(unique2 == 0, dist2, CV_DIST_L1, 3);
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Mat seam = dist1 < dist2;
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for (int y = 0; y < roi.height; ++y)
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{
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for (int x = 0; x < roi.width; ++x)
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{
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if (seam.at<uchar>(y + gap, x + gap))
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mask2.at<uchar>(roi.y - tl2.y + y, roi.x - tl2.x + x) = 0;
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else
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mask1.at<uchar>(roi.y - tl1.y + y, roi.x - tl1.x + x) = 0;
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}
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}
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}
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class GraphCutSeamFinder::Impl
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{
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public:
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Impl(int cost_type, float terminal_cost, float bad_region_penalty)
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: cost_type_(cost_type), terminal_cost_(terminal_cost), bad_region_penalty_(bad_region_penalty) {}
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void findInPair(const Mat &img1, const Mat &img2, Point tl1, Point tl2,
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Rect roi, Mat &mask1, Mat &mask2);
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private:
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void setGraphWeightsColor(const Mat &img1, const Mat &img2, const Mat &mask1, const Mat &mask2,
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GCGraph<float> &graph);
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int cost_type_;
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float terminal_cost_;
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float bad_region_penalty_;
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};
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void GraphCutSeamFinder::Impl::setGraphWeightsColor(const Mat &img1, const Mat &img2, const Mat &mask1, const Mat &mask2,
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GCGraph<float> &graph)
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{
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const Size img_size = img1.size();
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// Set terminal weights
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for (int y = 0; y < img_size.height; ++y)
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{
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for (int x = 0; x < img_size.width; ++x)
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{
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int v = graph.addVtx();
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graph.addTermWeights(v, mask1.at<uchar>(y, x) ? terminal_cost_ : 0.f,
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mask2.at<uchar>(y, x) ? terminal_cost_ : 0.f);
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}
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}
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const float weight_eps = 1e-3f;
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// Set regular edge weights
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for (int y = 0; y < img_size.height; ++y)
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{
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for (int x = 0; x < img_size.width; ++x)
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{
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int v = y * img_size.width + x;
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if (x < img_size.width - 1)
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{
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float weight = normL2(img1.at<Point3f>(y, x), img2.at<Point3f>(y, x)) +
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normL2(img1.at<Point3f>(y, x + 1), img2.at<Point3f>(y, x + 1)) +
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weight_eps;
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if (!mask1.at<uchar>(y, x) || !mask1.at<uchar>(y, x + 1) ||
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!mask2.at<uchar>(y, x) || !mask2.at<uchar>(y, x + 1))
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weight += bad_region_penalty_;
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graph.addEdges(v, v + 1, weight, weight);
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}
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if (y < img_size.height - 1)
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{
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float weight = normL2(img1.at<Point3f>(y, x), img2.at<Point3f>(y, x)) +
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normL2(img1.at<Point3f>(y + 1, x), img2.at<Point3f>(y + 1, x)) +
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weight_eps;
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if (!mask1.at<uchar>(y, x) || !mask1.at<uchar>(y + 1, x) ||
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!mask2.at<uchar>(y, x) || !mask2.at<uchar>(y + 1, x))
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weight += bad_region_penalty_;
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graph.addEdges(v, v + img_size.width, weight, weight);
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}
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}
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}
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}
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void GraphCutSeamFinder::Impl::findInPair(const Mat &img1, const Mat &img2, Point tl1, Point tl2,
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Rect roi, Mat &mask1, Mat &mask2)
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{
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const int gap = 10;
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Mat subimg1(roi.height + 2 * gap, roi.width + 2 * gap, CV_32FC3);
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Mat subimg2(roi.height + 2 * gap, roi.width + 2 * gap, CV_32FC3);
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Mat submask1(roi.height + 2 * gap, roi.width + 2 * gap, CV_8U);
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Mat submask2(roi.height + 2 * gap, roi.width + 2 * gap, CV_8U);
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// Cut subimages and submasks with some gap
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for (int y = -gap; y < roi.height + gap; ++y)
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{
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for (int x = -gap; x < roi.width + gap; ++x)
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{
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int y1 = roi.y - tl1.y + y;
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int x1 = roi.x - tl1.x + x;
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if (y1 >= 0 && x1 >= 0 && y1 < img1.rows && x1 < img1.cols)
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{
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subimg1.at<Point3f>(y + gap, x + gap) = img1.at<Point3f>(y1, x1);
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submask1.at<uchar>(y + gap, x + gap) = mask1.at<uchar>(y1, x1);
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}
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else
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{
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subimg1.at<Point3f>(y + gap, x + gap) = Point3f(0, 0, 0);
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submask1.at<uchar>(y + gap, x + gap) = 0;
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}
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int y2 = roi.y - tl2.y + y;
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int x2 = roi.x - tl2.x + x;
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if (y2 >= 0 && x2 >= 0 && y2 < img2.rows && x2 < img2.cols)
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{
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subimg2.at<Point3f>(y + gap, x + gap) = img2.at<Point3f>(y2, x2);
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submask2.at<uchar>(y + gap, x + gap) = mask2.at<uchar>(y2, x2);
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}
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else
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{
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subimg2.at<Point3f>(y + gap, x + gap) = Point3f(0, 0, 0);
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submask2.at<uchar>(y + gap, x + gap) = 0;
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}
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}
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}
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const int vertex_count = (roi.height + 2 * gap) * (roi.width + 2 * gap);
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const int edge_count = (roi.height - 1 + 2 * gap) * (roi.width + 2 * gap) +
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(roi.width - 1 + 2 * gap) * (roi.height + 2 * gap);
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GCGraph<float> graph(vertex_count, edge_count);
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switch (cost_type_)
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{
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case GraphCutSeamFinder::COST_COLOR:
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setGraphWeightsColor(subimg1, subimg2, submask1, submask2, graph);
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break;
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default:
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CV_Error(CV_StsBadArg, "unsupported pixel similarity measure");
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}
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graph.maxFlow();
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for (int y = 0; y < roi.height; ++y)
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{
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for (int x = 0; x < roi.width; ++x)
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{
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if (graph.inSourceSegment((y + gap) * (roi.width + 2 * gap) + x + gap))
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{
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if (mask1.at<uchar>(roi.y - tl1.y + y, roi.x - tl1.x + x))
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mask2.at<uchar>(roi.y - tl2.y + y, roi.x - tl2.x + x) = 0;
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}
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else
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{
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if (mask2.at<uchar>(roi.y - tl2.y + y, roi.x - tl2.x + x))
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mask1.at<uchar>(roi.y - tl1.y + y, roi.x - tl1.x + x) = 0;
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}
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}
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}
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}
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GraphCutSeamFinder::GraphCutSeamFinder(int cost_type, float terminal_cost, float bad_region_penalty)
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: impl_(new Impl(cost_type, terminal_cost, bad_region_penalty)) {}
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void GraphCutSeamFinder::findInPair(const Mat &img1, const Mat &img2, Point tl1, Point tl2,
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Rect roi, Mat &mask1, Mat &mask2)
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{
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impl_->findInPair(img1, img2, tl1, tl2, roi, mask1, mask2);
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}
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