PARP Research Group

Universidad de Murcia

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examples/movingEdgesDetector/movingEdgesDetector.cpp Go to the documentation of this file. /* * Copyright (C) 2007, 2008, 2009, 2010, 2011, 2012. PARP Research Group. * <http://perception.inf.um.es> * University of Murcia, Spain. * * This file is part of the QVision library. * * QVision is free software: you can redistribute it and/or modify * it under the terms of the GNU Lesser General Public License as * published by the Free Software Foundation, version 3 of the License. * * QVision is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU Lesser General Public License for more details. * * You should have received a copy of the GNU Lesser General Public * License along with QVision. If not, see <http://www.gnu.org/licenses/>. */ #ifndef DOXYGEN_IGNORE_THIS #include <QVApplication> #include <QVVideoReaderBlock> #include <QVDefaultGUI> #include <QVImageCanvas> #include <QVCannyEdgeDetector> #include <QVImageRetarderBlock> #include <qvippblocks.h> #include <qvip.h> #include <QVPolyline> class MovingEdgesDetector: public QVProcessingBlock { public: MovingEdgesDetector(QString name = QString()); void iterate(); }; MovingEdgesDetector::MovingEdgesDetector(QString name): QVProcessingBlock(name) { addProperty< QVImage<uChar,1> >("Edge response image", inputFlag); addProperty< QVImage<uChar,1> >("Movement response image", inputFlag); addProperty< QVImage<uChar,1> >("Moving borders image", outputFlag); addProperty< double >("Minimal pixel percentage", inputFlag, 0.5, "Minimal percentage of moving pixels for an edge", 0.0, 1.0); } void MovingEdgesDetector::iterate() { // 1. Read the input values and algorithm parameters const QVImage<uChar,1> movementResponseImage = getPropertyValue< QVImage<uChar,1> >("Movement response image"), edgeResponseImage = getPropertyValue< QVImage<uChar,1> >("Edge response image"); const double minimalPixelPercentage = getPropertyValue< double >("Minimal pixel percentage"); // 2. process the input values with the input parameter values. // 2.1. Obtain the list of moving edges as a polyline list. // 2.1.1. Get the list of edges from the edge response image, as a list of polylines: const QList< QVPolyline > edges = getLineContoursThreshold8Connectivity(edgeResponseImage, 128); // 2.1.2. For each edge, test if a percentage high enough of its pixels is active in the // movement response image. If so, store it in the list of moving image borders. QList< QVPolyline > movingImageBorders; foreach(QVPolyline edge, edges) { int count = 0; foreach(QPoint edgePoint, edge) if (movementResponseImage(edgePoint) != 0) count++; if (count >= minimalPixelPercentage * edge.size()) movingImageBorders << edge; } // 2.2. Create the moving edge response image from the list of moving edges. // 2.2.1. Create the image with the same size as the movement response image. QVImage<uChar,1 > movingBordersImage(movementResponseImage.getCols(), movementResponseImage.getRows()); // 2.2.2. Initialize the pixels of the image to zero Set(0, movingBordersImage); // 2.2.3. Draw each polyline contained in the moving image edges at the output image. foreach(QVPolyline edge, movingImageBorders) foreach(QPoint edgePoint, edge) movingBordersImage(edgePoint) = 255; // 3. Store the resulting image in the output property setPropertyValue< QVImage<uChar,1> >("Moving borders image", movingBordersImage); timeFlag("Publish resulting images"); } // main function. int main(int argc, char *argv[]) { QVApplication app(argc, argv, "Example program for QVision library. Obtains several features from input video frames." ); QVDefaultGUI interface; QVVideoReaderBlock videoReader("Video"); // 1. Edge detection QVCannyEdgeDetector cannyBlock("Canny block"); QVImageCanvas imageDisplayer("Original image"); QVImageCanvas edgesDisplayer("Canny edges"); videoReader.linkProperty(&cannyBlock,"Input image"); cannyBlock.linkProperty("Input image",imageDisplayer); cannyBlock.linkProperty("Output image",edgesDisplayer); // 2. Movement detection QVImageRetarderBlock<uChar,1> retarderBlock("Image retarder block"); QVAbsDiff_uCharC1Block absDiffBlock("Absolute difference block"); QVCompareC_uCharC1Block compareCBlock("Threshold block"); QVImageCanvas movementDisplayer("Movement detector"); compareCBlock.setPropertyValue<IppCmpOp>("ippCmpOp", ippCmpGreater); compareCBlock.setPropertyValue<uChar>("value", 32); videoReader.linkProperty(&retarderBlock, "Input image"); videoReader.linkProperty(&absDiffBlock, "qvimage_pSrc1"); retarderBlock.linkProperty("Output image", &absDiffBlock, "qvimage_pSrc2", QVProcessingBlock::SynchronousLink); absDiffBlock.linkProperty("qvimage_pDst", &compareCBlock, "qvimage_pSrc", QVProcessingBlock::SynchronousLink); compareCBlock.linkProperty("qvimage_pDst", movementDisplayer); // 3. Edge and movement combination using one qvipp block QVMul_uCharC1Block multBlock("Product block"); QVImageCanvas movingEdgesDisplayer("Detected moving edges"); cannyBlock.linkProperty("Output image", &multBlock, "qvimage_pSrc1", QVProcessingBlock::SynchronousLink); compareCBlock.linkProperty("qvimage_pDst", &multBlock, "qvimage_pSrc2", QVProcessingBlock::SynchronousLink); multBlock.linkProperty("qvimage_pDst", movingEdgesDisplayer); // 4. Edge and movement combination using new block MovingEdgesDetector movingEdgesDetector("Edge & movement image composer"); QVImageCanvas movingEdgesDisplayer2("Detected moving edges 2"); cannyBlock.linkProperty("Output image", &movingEdgesDetector, "Edge response image", QVProcessingBlock::SynchronousLink); compareCBlock.linkProperty("qvimage_pDst", &movingEdgesDetector, "Movement response image", QVProcessingBlock::SynchronousLink); movingEdgesDetector.linkProperty("Moving borders image", movingEdgesDisplayer2); return app.exec(); } #endif

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