00001 /*!@file SpaceVariant/SpaceVarinatDoGModule.H a model component that embodies different 00002 space variant image transforms (e.g. foveation). */ 00003 00004 // //////////////////////////////////////////////////////////////////// // 00005 // The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2000-2003 // 00006 // by the University of Southern California (USC) and the iLab at USC. // 00007 // See http://iLab.usc.edu for information about this project. // 00008 // //////////////////////////////////////////////////////////////////// // 00009 // Major portions of the iLab Neuromorphic Vision Toolkit are protected // 00010 // under the U.S. patent ``Computation of Intrinsic Perceptual Saliency // 00011 // in Visual Environments, and Applications'' by Christof Koch and // 00012 // Laurent Itti, California Institute of Technology, 2001 (patent // 00013 // pending; application number 09/912,225 filed July 23, 2001; see // 00014 // http://pair.uspto.gov/cgi-bin/final/home.pl for current status). // 00015 // //////////////////////////////////////////////////////////////////// // 00016 // This file is part of the iLab Neuromorphic Vision C++ Toolkit. // 00017 // // 00018 // The iLab Neuromorphic Vision C++ Toolkit is free software; you can // 00019 // redistribute it and/or modify it under the terms of the GNU General // 00020 // Public License as published by the Free Software Foundation; either // 00021 // version 2 of the License, or (at your option) any later version. // 00022 // // 00023 // The iLab Neuromorphic Vision C++ Toolkit is distributed in the hope // 00024 // that it will be useful, but WITHOUT ANY WARRANTY; without even the // 00025 // implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR // 00026 // PURPOSE. See the GNU General Public License for more details. // 00027 // // 00028 // You should have received a copy of the GNU General Public License // 00029 // along with the iLab Neuromorphic Vision C++ Toolkit; if not, write // 00030 // to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, // 00031 // Boston, MA 02111-1307 USA. // 00032 // //////////////////////////////////////////////////////////////////// // 00033 // 00034 // Primary maintainer for this file: David J. Berg <dberg@usc.edu> 00035 // $HeadURL: svn://isvn.usc.edu:/software/invt/trunk/saliency/src/SpaceVariant/SpaceVarinatDoGModule.H $ 00036 00037 #ifndef SPACEVARIANTDOGMODULE_H_DEFINED 00038 #define SPACEVARIANTDOGMODULE_H_DEFINED 00039 00040 #include "SpaceVariant/FovealTransformModule.H" 00041 00042 // ###################################################################### 00043 // a Difference of Gaussian version of the space variant transform. See 00044 // SpaceVariantTransforms.H and ScaleSpaceOps.H for details on the computation. 00045 // ###################################################################### 00046 class SpaceVariantDoGModule : public FovealTransformModule 00047 { 00048 public: 00049 //! Constructor 00050 /*! See ModelComponent.H for details */ 00051 SpaceVariantDoGModule(OptionManager& mgr, const std::string& descrName = "SpaceVariantDoGModule", 00052 const std::string& tagName = "SpaceVariantDoGModule"); 00053 00054 //! Destructor 00055 ~SpaceVariantDoGModule(); 00056 00057 //!override transform 00058 Image<PixRGB<float> > transformRGB(const Image<PixRGB<byte> >& image, 00059 const ImageSet<PixRGB<float> >* const pyr_cache = NULL); 00060 00061 //! transform a cartesian image to a space variant pyramid 00062 virtual void transformRgbPyramid(const Image<PixRGB<byte> >& image, ImageSet<PixRGB<float> >& pyramid, const SVChanLevels& levels, const ImageSet<PixRGB<float> >* const pyr_cache); 00063 00064 //!override transform 00065 Image<float> transformFloat(const Image<float>& image, const ImageSet<float>* const pyr_cache = NULL); 00066 00067 //! transform a cartesian image to a space variant pyramid 00068 virtual void transformFloatPyramid(const Image<float>& image, ImageSet<float>& pyramid, const SVChanLevels& levels, const ImageSet<float>* const pyr_cache); 00069 00070 /*!transform a cartesian image to a space variant difference of Gaussian image. Notice, 00071 // that apposed to transform() where the same time that is input is returned 00072 // (by clamping and converting), a float image (or PixRGB<float>) is returned here as the DoG 00073 // may result in negative numbers */ 00074 template <class T_or_RGB> 00075 Image<typename promote_trait<T_or_RGB, float>::TP> transformDoG(const Image<T_or_RGB>& ret_image, const ImageSet<typename promote_trait<T_or_RGB, float>::TP>* const pyr_cache = NULL); 00076 00077 //! transform a cartesian image to a space variant pyramid 00078 template <class T_or_RGB> 00079 void transformDoGPyramid(const Image<T_or_RGB>& 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 = NULL); 00080 00081 private: 00082 OModelParam<bool> itsSvDoGCenter; 00083 OModelParam<float> itsSvDoGSize; 00084 }; 00085 00086 #endif //SPACEVARIANTDOGMODULE 00087 // ###################################################################### 00088 /* So things look consistent in everyone's emacs... */ 00089 /* Local Variables: */ 00090 /* indent-tabs-mode: nil */ 00091 /* End: */
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