CudaPyramidOps.H

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00001 /*!@file CUDA/CudaPyramidOps.H Free functions operating on pyramid data structures */
00002 
00003 // //////////////////////////////////////////////////////////////////// //
00004 // The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2001 by the //
00005 // 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: Laurent Itti <itti@usc.edu>
00034 // $HeadURL: svn://isvn.usc.edu/software/invt/trunk/saliency/src/CUDA/CudaPyramidOps.H $
00035 // $Id: CudaPyramidOps.H 12962 2010-03-06 02:13:53Z irock $
00036 //
00037 
00038 #ifndef CUDA_CUDAPYRAMIDOPS_H_DEFINED
00039 #define CUDA_CUDAPYRAMIDOPS_H_DEFINED
00040 
00041 #include "CUDA/CudaImageSet.H"
00042 #include "CUDA/CudaImage.H"
00043 #include "Image/PyramidTypes.H"
00044 
00045 //! Uses a Gaussian filter of size \a filterSize.
00046 CudaImageSet<float> cudaBuildPyrGaussian(const CudaImage<float>& image,
00047                                     int firstlevel, int depth,
00048                                     int filterSize);
00049 
00050 //! Uses a Laplacian filter of size \a filterSize.
00051 CudaImageSet<float> cudaBuildPyrLaplacian(const CudaImage<float>& image,
00052                                     int firstlevel, int depth,
00053                                     int filterSize);
00054 
00055 //! Build an oriented pyramid from a Laplacian pyramid
00056 CudaImageSet<float> cudaBuildPyrOrientedFromLaplacian(const CudaImageSet<float>& laplacian,
00057                                                       int filterSize, float theta, float intens = 10.0F);
00058 
00059 //! Build an oriented pyramid
00060 CudaImageSet<float> cudaBuildPyrOriented(const CudaImage<float>& image, int firstlevel, int depth, int filterSize,
00061                                          float theta, float intens = 10.0F);
00062 
00063 //! Build a local average pyramid
00064 CudaImageSet<float> cudaBuildPyrLocalAvg(const CudaImage<float>& image, int depth);
00065 
00066 //! Build a local average 2x2 pyramid
00067 CudaImageSet<float> cudaBuildPyrLocalAvg2x2(const CudaImage<float>& image, int depth);
00068 
00069 //! Build a local max pyramid
00070 CudaImageSet<float> cudaBuildPyrLocalMax(const CudaImage<float>& image, int depth);
00071 
00072 //! Build a generic pyramid
00073 CudaImageSet<float> cudaBuildPyrGeneric(const CudaImage<float>& image,
00074                                         int firstlevel, int depth,
00075                                         const PyramidType typ, const float gabor_theta=0.0F,
00076                                         const float intens=10.0F);
00077 
00078 
00079 //! Compute center-surround between images at lev1 and lev2
00080 CudaImage<float> cudaCenterSurround(const CudaImageSet<float>& pyr,
00081                                     const int lev1, const int lev2,
00082                                     const bool absol,
00083                                     const CudaImageSet<float>* clipPyr = 0);
00084 
00085 //! Compute center-surround between images, splitting positive and negative
00086 void cudaCenterSurround(const CudaImageSet<float>& pyr,
00087                         const int lev1, const int lev2,
00088                         CudaImage<float>& pos, CudaImage<float>& neg,
00089                         const CudaImageSet<float>* clipPyr = 0);
00090 
00091 //! Compute single-opponent center-surround between images at lev1 and lev2
00092 CudaImage<float> cudaCenterSurroundSingleOpponent(const CudaImageSet<float>& cpyr,
00093                                                   const CudaImageSet<float>& spyr,
00094                                                   const int lev1, const int lev2,
00095                                                   const bool absol,
00096                                                   const CudaImageSet<float>* clipPyr = 0);
00097 
00098 //! Compute single-opp center-surr between imgs, splitting pos and neg
00099 void cudaCenterSurroundSingleOpponent(const CudaImageSet<float>& cpyr,
00100                                       const CudaImageSet<float>& spyr,
00101                                       const int lev1, const int lev2,
00102                                       CudaImage<float>& pos, CudaImage<float>& neg,
00103                                       const CudaImageSet<float>* clipPyr = 0);
00104 
00105 //! Compute center-surround between difference images at lev1 and lev2
00106 CudaImage<float> cudaCenterSurroundDiff(const CudaImageSet<float>& pyr1,
00107                                         const CudaImageSet<float>& pyr2,
00108                                         const int lev1, const int lev2,
00109                                         const bool absol,
00110                                         const CudaImageSet<float>* clipPyr = 0);
00111 
00112 //! Compute center-surround differnces, splitting pos & neg values
00113 void cudaCenterSurroundDiff(const CudaImageSet<float>& pyr1,
00114                             const CudaImageSet<float>& pyr2,
00115                             const int lev1, const int lev2,
00116                             CudaImage<float>& pos, CudaImage<float>& neg,
00117                             const CudaImageSet<float>* clipPyr = 0);
00118 
00119 #endif
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