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