00001 /*!@file SpaceVariant/SpaceVariantDoGModule.C space variant transformation module */ 00002 00003 // //////////////////////////////////////////////////////////////////// // 00004 // The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2000-2003 // 00005 // by the University of Southern California (USC) and the iLab at USC. // 00006 // See http://iLab.usc.edu for information about this project. // 00007 // //////////////////////////////////////////////////////////////////// // 00008 // Major portions of the iLab Neuromorphic Vision Toolkit are protected // 00009 // under the U.S. patent ``Computation of Intrinsic Perceptual Saliency // 00010 // in Visual Environments, and Applications'' by Christof Koch and // 00011 // Laurent Itti, California Institute of Technology, 2001 (patent // 00012 // pending; application number 09/912,225 filed July 23, 2001; see // 00013 // http://pair.uspto.gov/cgi-bin/final/home.pl for current status). // 00014 // //////////////////////////////////////////////////////////////////// // 00015 // This file is part of the iLab Neuromorphic Vision C++ Toolkit. // 00016 // // 00017 // The iLab Neuromorphic Vision C++ Toolkit is free software; you can // 00018 // redistribute it and/or modify it under the terms of the GNU General // 00019 // Public License as published by the Free Software Foundation; either // 00020 // version 2 of the License, or (at your option) any later version. // 00021 // // 00022 // The iLab Neuromorphic Vision C++ Toolkit is distributed in the hope // 00023 // that it will be useful, but WITHOUT ANY WARRANTY; without even the // 00024 // implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR // 00025 // PURPOSE. See the GNU General Public License for more details. // 00026 // // 00027 // You should have received a copy of the GNU General Public License // 00028 // along with the iLab Neuromorphic Vision C++ Toolkit; if not, write // 00029 // to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, // 00030 // Boston, MA 02111-1307 USA. // 00031 // //////////////////////////////////////////////////////////////////// // 00032 // 00033 // Primary maintainer for this file: David J. Berg <dberg@usc.edu> 00034 // $HeadURL: svn://isvn.usc.edu:/software/invt/trunk/saliency/src/SpaceVariant/SpaceVariantDoGModule.C $ 00035 00036 #include "SpaceVariant/SpaceVariantDoGModule.H" 00037 #include "SpaceVariant/SpaceVariantOpts.H" 00038 #include "SpaceVariant/SVChanLevels.H" 00039 #include "Image/ImageSet.H" 00040 00041 // ###################################################################### 00042 // implementation for SpaceVariantDoGModule 00043 // ###################################################################### 00044 SpaceVariantDoGModule::SpaceVariantDoGModule(OptionManager& mgr, 00045 const std::string& descrName, const std::string& tagName) : 00046 FovealTransformModule(mgr, descrName, tagName), 00047 itsSvDoGCenter(&OPT_SpaceVariantDogCenter, this), 00048 itsSvDoGSize(&OPT_SpaceVariantDogSize, this) 00049 { } 00050 00051 // ###################################################################### 00052 SpaceVariantDoGModule::~SpaceVariantDoGModule() 00053 { } 00054 00055 // ###################################################################### 00056 Image<PixRGB<float> > SpaceVariantDoGModule::transformRGB(const Image<PixRGB<byte> >& image, 00057 const ImageSet<PixRGB<float> >* const pyr_cache) 00058 { 00059 return this->transformDoG(image, pyr_cache); 00060 } 00061 00062 // ###################################################################### 00063 void SpaceVariantDoGModule::transformRgbPyramid(const Image<PixRGB<byte> >& image, ImageSet<PixRGB<float> >& pyramid, const SVChanLevels& levels, const ImageSet<PixRGB<float> >* const pyr_cache) 00064 { 00065 return this->transformDoGPyramid(image, pyramid, levels, pyr_cache); 00066 } 00067 00068 // ###################################################################### 00069 Image<float> SpaceVariantDoGModule::transformFloat(const Image<float>& image, const ImageSet<float>* const pyr_cache) 00070 { 00071 return this->transformDoG(image, pyr_cache); 00072 } 00073 00074 // ###################################################################### 00075 void SpaceVariantDoGModule::transformFloatPyramid(const Image<float>& image, ImageSet<float>& pyramid, const SVChanLevels& levels, const ImageSet<float>* const pyr_cache) 00076 { 00077 return this->transformDoGPyramid(image, pyramid, levels, pyr_cache); 00078 } 00079 00080 // ###################################################################### 00081 template <class T_or_RGB> 00082 Image<typename promote_trait<T_or_RGB, float>::TP> 00083 SpaceVariantDoGModule::transformDoG(const Image<T_or_RGB>& ret_image, const ImageSet<typename promote_trait<T_or_RGB, float>::TP>* const pyr_cache) 00084 { 00085 Image<T_or_RGB> output; 00086 if (ret_image.initialized()) 00087 { 00088 //re-initialzed if our input dims change 00089 if (!validTransforms()) 00090 clear(ret_image.getDims()); 00091 else if (ret_image.getDims() != itsTransform->getCTDims()) 00092 clear(ret_image.getDims()); 00093 00094 //transform image 00095 output = transformToDoG(*itsTransform, ret_image, itsSvDoGSize.getVal(), itsSvDoGCenter.getVal(), pyr_cache); 00096 } 00097 return output; 00098 } 00099 00100 // ###################################################################### 00101 template <class T_or_RGB> 00102 void SpaceVariantDoGModule::transformDoGPyramid(const Image<T_or_RGB>& ret_image, ImageSet<typename promote_trait<T_or_RGB, float>::TP>& pyramid, const SVChanLevels& levels, const ImageSet<typename promote_trait<T_or_RGB, float>::TP>* const pyr_cache) 00103 { 00104 if (ret_image.initialized()) 00105 { 00106 //re-initialzed if our input dims change 00107 if (!validTransforms()) 00108 clear(ret_image.getDims()); 00109 else if (ret_image.getDims() != itsTransform->getCTDims()) 00110 clear(ret_image.getDims()); 00111 00112 pyramid = ImageSet<typename promote_trait<T_or_RGB, float>::TP>(levels.numLevels()); 00113 for (uint ii = 0; ii < levels.numLevels(); ++ii) 00114 pyramid[ii] = transformToDoG(*itsTransform, ret_image, itsSvDoGSize.getVal(), itsSvDoGCenter.getVal(), pyr_cache, levels.getVariance(ii)); 00115 } 00116 } 00117 00118 #define INST_CLASS SpaceVariantDoGModule:: 00119 #include "inst/SpaceVariant/SpaceVariantDoGModule.I" 00120 // ###################################################################### 00121 /* So things look consistent in everyone's emacs... */ 00122 /* Local Variables: */ 00123 /* indent-tabs-mode: nil */ 00124 /* End: */