00001 /*---------------------------------------------------------------------+ 00002 | Library QgarLib, graphics analysis and recognition | 00003 | Copyright (C) 2002 Qgar Project, LORIA | 00004 | | 00005 | This library is free software; you can redistribute it and/or | 00006 | modify it under the terms of the GNU Lesser General Public | 00007 | License version 2.1, as published by the Free Software Foundation. | 00008 | | 00009 | This library is distributed in the hope that it will be useful, | 00010 | but WITHOUT ANY WARRANTY; without even the implied warranty of | 00011 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. | 00012 | See the GNU Lesser General Public License for more details. | 00013 | | 00014 | The GNU Lesser General Public License is included in the file | 00015 | LICENSE.LGPL, in the root directory of the Qgar packaging. See | 00016 | http://www.gnu.org/licenses/lgpl.html for the terms of the licence. | 00017 | To receive a paper copy, write to the Free Software Foundation, | 00018 | Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA. | 00019 | | 00020 | Contact Project Qgar for any information: | 00021 | LORIA - équipe Qgar | 00022 | B.P. 239, 54506 Vandoeuvre-lès-Nancy Cedex, France | 00023 | email: qgar-contact@loria.fr | 00024 | http://www.qgar.org/ | 00025 *---------------------------------------------------------------------*/ 00026 00027 00028 /** 00029 * @file CannyGradientImage.C 00030 * @brief Implementation of class qgar::CannyGradientImage. 00031 * 00032 * See file CannyGradientImage.H for the interface. 00033 * 00034 * @author <a href="mailto:qgar-develop@loria.fr?subject=Qgar fwd Karl Tombre">Karl Tombre</a> 00035 * @date Jul 4, 2001 15:17 00036 * @since Qgar 1.0 00037 */ 00038 00039 00040 // QGAR 00041 #include <qgarlib/AbstractGradientImage.H> 00042 #include <qgarlib/CannyGradientImage.H> 00043 #include <qgarlib/GenConvolImage.H> 00044 #include <qgarlib/GenImage.H> 00045 #include <qgarlib/Mask1dGaussD1.H> 00046 #include <qgarlib/Mask1dGauss.H> 00047 00048 00049 00050 namespace qgar 00051 { 00052 00053 // ------------------------------------------------------------------- 00054 // C O N S T R U C T O R S 00055 // ------------------------------------------------------------------- 00056 00057 00058 // CONSTRUCT FROM GIVEN GREY-LEVEL IMAGE 00059 00060 CannyGradientImage::CannyGradientImage(const GreyLevelImage& anImg, 00061 double aSigma) 00062 00063 : AbstractGradientImage(anImg) 00064 00065 { 00066 PRIVATE_CannyImage(aSigma); 00067 } 00068 00069 00070 // CONSTRUCT FROM GIVEN FLOAT IMAGE 00071 00072 CannyGradientImage::CannyGradientImage(const FloatImage& anImg, 00073 double aSigma) 00074 00075 : AbstractGradientImage(anImg) 00076 00077 { 00078 PRIVATE_CannyImage(aSigma); 00079 } 00080 00081 00082 // ------------------------------------------------------------------- 00083 // A U X I L I A R I E S ( P R I V A T E ) 00084 // ------------------------------------------------------------------- 00085 00086 00087 void 00088 CannyGradientImage::PRIVATE_CannyImage(double aSigma) 00089 { 00090 // When we start this function, we already know by construction 00091 // that _dxImg and _dyImg contain copies of the original image 00092 // to be derived. 00093 00094 // Create Gaussian masks 00095 Mask1dGauss sMask(aSigma); // smoothing mask 00096 Mask1dGaussD1 dMask(aSigma); // derivation mask 00097 00098 FConvolImage* dx = new FConvolImage(_dxImg, dMask, QGE_AXIS_X); 00099 FConvolImage* dy = new FConvolImage( *dx, sMask, QGE_AXIS_Y); 00100 00101 // This was _dxImg 00102 _dxImg = *dy; 00103 00104 delete dx; 00105 delete dy; 00106 00107 dx = new FConvolImage(_dyImg, sMask, QGE_AXIS_X); 00108 dy = new FConvolImage( *dx, dMask, QGE_AXIS_Y); 00109 00110 // And this was _dyImg 00111 _dyImg = *dy; 00112 00113 delete dx; 00114 delete dy; 00115 } 00116 00117 00118 // ------------------------------------------------------------------- 00119 00120 } // namespace qgar