PARP Research Group

Universidad de Murcia

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src/qvblockprogramming/qvprocessingblocks/qvfilterselectorblock.h 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 QVFILTERSELECTORWORKER_H #define QVFILTERSELECTORWORKER_H #include <qvipp.h> #include <qvip.h> #include <QVImage> #include <QVProcessingBlock> #include <QVIndexedStringList> template <typename T, int C> class QVFilterSelectorBlock: public QVProcessingBlock { private: QVIndexedStringList firstFilter; // Function that apply a canny filter QVImage<T,1> cannyIterate(QVImage<T,1> image, double threLow, double threHigh) { // Read input parameters uInt cols = image.getCols(), rows = image.getRows(); QVImage<sFloat> imageFloat(cols, rows), dX(cols, rows), dY(cols, rows), dXNeg(cols, rows); QVImage<uChar> canny(cols, rows), buffer; // Convert image from uChar to sShort Convert(image, imageFloat); // Obtain horizontal and vertical gradients from image FilterSobelHorizMask(imageFloat, dY, ippMskSize3x3); FilterSobelVertMask(imageFloat, dX, ippMskSize3x3); MulC(dX, -1, dXNeg); // Apply Canny operator CannyGetSize(canny, buffer); Canny(dXNeg, dY, canny, threLow, threHigh, buffer); // Publish resulting images return canny; } // Function that apply the selected filter QVImage<T,1> applyFilter(QVImage<T,1> image, int choice, double threLow, double threHigh, bool sizeOf5, int maskRow, int maskCol) { switch (choice) { case 0: // None { break; } case 1: // Canny { image = cannyIterate(image, threLow, threHigh); break; } case 2: // Hessian { QVImage<sFloat, 1> auxImage(image); FilterHessianCornerResponseImage(image, auxImage); Ln(auxImage, auxImage); FilterNormalize(auxImage, image); break; } case 3: // Harris { QVImage<sFloat, 1> auxImage(image); FilterHarrisCornerResponseImage(image, auxImage); Ln(auxImage, auxImage); FilterNormalize(auxImage, image); break; } case 4: // DOG { QVImage<sFloat, 1> auxImage(image); //FilterDoG(image, auxImage); Ln(auxImage, auxImage); FilterNormalize(auxImage, image); break; } case 5: // Gauss { QVImage<sFloat, 1> auxImage(image); if (sizeOf5) FilterGauss(image, auxImage, ippMskSize5x5); else FilterGauss(image, auxImage, ippMskSize3x3); return auxImage; break; } case 6: // Sharpen { QVImage<sFloat, 1> auxImage(image); FilterSharpen(image, auxImage); return auxImage; break; } case 7: // Box { QVImage<sFloat, 1> auxImage(image); FilterBox(image, auxImage, QSize(maskRow, maskCol)); return auxImage; break; } } return image; } public: QVFilterSelectorBlock(QString name = QString()): QVProcessingBlock(name) { // Generate the filter's combobox firstFilter.append("None"); firstFilter.append("Canny"); firstFilter.append("Hessian"); firstFilter.append("Harris"); firstFilter.append("DOG"); firstFilter.append("Gauss"); firstFilter.append("Sharpen"); firstFilter.append("Box"); addProperty< QVIndexedStringList >("Filter", inputFlag, firstFilter); // Generate the filter's parameters addProperty<bool>("Mask: Size of 5 (gauss)", inputFlag, false); addProperty<int>("Mask: Row (Box)", inputFlag, 3, "Row Mask Size", 1, 10); addProperty<int>("Mask: Col (Box)", inputFlag, 3, "Col Mask Size", 1, 10); addProperty<double>("Threshold high (canny)", inputFlag, 150, "High threshold for Canny operator", 50, 1000); addProperty<double>("Threshold low (canny)", inputFlag, 50, "Low threshold for Canny operator", 10, 500); addProperty< QVImage<T,C> >("Input image", inputFlag|outputFlag); addProperty< QVImage<T,C> >("Output image", outputFlag); } void iterate() { QVImage<T,1> image = getPropertyValue< QVImage<uChar,C> >("Input image"); // Get the parameters's current values const QVIndexedStringList auxFF = getPropertyValue<QVIndexedStringList>("Filter"); const double threLow = getPropertyValue<double>("Threshold low (canny)"); const double threHigh = getPropertyValue<double>("Threshold high (canny)"); const bool sizeOf5 = getPropertyValue<bool>("Mask: Size of 5 (gauss)"); const int maskRow = getPropertyValue<int>("Mask: Row (Box)"); const int maskCol = getPropertyValue<int>("Mask: Col (Box)"); timeFlag("Read input parameters"); // Apply the filter QVImage<T,C> filteredImage = applyFilter(image, auxFF.getIndex(), threLow, threHigh, sizeOf5, maskRow, maskCol); timeFlag("Apply the filter"); setPropertyValue< QVImage<T,C> >("Output image", filteredImage); timeFlag("Write input parameters"); } }; #endif

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QVision framework. PARP research group. Copyright © 2007, 2008, 2009, 2010, 2011.