00001 /*!@file Image/Normalize.C */ 00002 00003 // //////////////////////////////////////////////////////////////////// // 00004 // The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2000-2005 // 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: Rob Peters <rjpeters at usc dot edu> 00034 // $HeadURL: svn://isvn.usc.edu/software/invt/trunk/saliency/src/Image/Normalize.C $ 00035 // $Id: Normalize.C 9412 2008-03-10 23:10:15Z farhan $ 00036 // 00037 00038 #ifndef IMAGE_NORMALIZE_C_DEFINED 00039 #define IMAGE_NORMALIZE_C_DEFINED 00040 00041 #include "Image/Normalize.H" 00042 00043 #include "Image/ColorOps.H" 00044 #include "Image/CutPaste.H" 00045 #include "Image/DrawOps.H" 00046 #include "Image/Image.H" 00047 #include "Image/MathOps.H" 00048 #include "Image/Pixels.H" 00049 #include "Image/Range.H" 00050 #include "Util/sformat.H" 00051 00052 // ###################################################################### 00053 Image<float> normalizeFloat(const Image<float>& src, const int flags) 00054 { 00055 if (flags == 0) 00056 return src; 00057 00058 const Range<float> srcrng = rangeOf(src); 00059 Range<float> dstrng = srcrng; 00060 00061 Image<float> nsrc = src; 00062 if (flags & FLOAT_NORM_0_255) 00063 { 00064 inplaceNormalize(nsrc, 0.0f, 255.0f); 00065 dstrng = Range<float>(0.0f, 255.0f); 00066 } 00067 00068 Image<float> result = nsrc; 00069 00070 if (flags & FLOAT_NORM_WITH_SCALE) 00071 { 00072 const int width = std::max(src.getWidth(), 144); 00073 00074 result = Image<float>(width, src.getHeight() + 50, NO_INIT); 00075 result.clear(dstrng.min()); 00076 inplacePaste(result, nsrc, Point2D<int>(0,0)); 00077 00078 writeText(result, Point2D<int>(0, src.getHeight()), 00079 sformat("min: %g", srcrng.min()).c_str(), 00080 // use the max,min values of the destination image 00081 // range as the foreground and background colors for 00082 // text rendering: 00083 dstrng.max(), dstrng.min()); 00084 00085 writeText(result, Point2D<int>(0, src.getHeight()+25), 00086 sformat("max: %g", srcrng.max()).c_str(), 00087 dstrng.max(), dstrng.min()); 00088 } 00089 00090 return result; 00091 } 00092 00093 // ###################################################################### 00094 Image<PixRGB<float> > 00095 normalizeFloatRgb(const Image<PixRGB<float> >& src, 00096 const int flags) 00097 { 00098 if (flags == 0) 00099 return src; 00100 00101 float srcmin, srcmax; 00102 getMinMaxC(src, srcmin, srcmax); 00103 float dstmin = srcmin, dstmax = srcmax; 00104 00105 Image<PixRGB<float> > nsrc = src; 00106 if (flags & FLOAT_NORM_0_255) 00107 { 00108 const float scale = 255.0f / srcmax; 00109 for (Image<PixRGB<float> >::iterator 00110 nptr = nsrc.beginw(), stop = nsrc.endw(); 00111 nptr != stop; ++nptr) 00112 { 00113 *nptr = (*nptr - srcmin) * scale; 00114 } 00115 dstmin = 0.0f; dstmax = 255.0f; 00116 } 00117 00118 Image<PixRGB<float> > result = nsrc; 00119 00120 if (flags & FLOAT_NORM_WITH_SCALE) 00121 { 00122 const int width = std::max(src.getWidth(), 144); 00123 00124 result = Image<PixRGB<float> >(width, src.getHeight() + 50, NO_INIT); 00125 result.clear(PixRGB<float>(dstmin)); 00126 inplacePaste(result, nsrc, Point2D<int>(0,0)); 00127 00128 writeText(result, Point2D<int>(0, src.getHeight()), 00129 sformat("min: %g", srcmin).c_str(), 00130 // use the max,min values of the destination image 00131 // range as the foreground and background colors for 00132 // text rendering: 00133 PixRGB<float>(dstmax), 00134 PixRGB<float>(dstmin)); 00135 00136 writeText(result, Point2D<int>(0, src.getHeight()+25), 00137 sformat("max: %g", srcmax).c_str(), 00138 PixRGB<float>(dstmax), 00139 PixRGB<float>(dstmin)); 00140 } 00141 00142 return result; 00143 } 00144 00145 // ###################################################################### 00146 /* So things look consistent in everyone's emacs... */ 00147 /* Local Variables: */ 00148 /* indent-tabs-mode: nil */ 00149 /* End: */ 00150 00151 #endif // IMAGE_NORMALIZE_C_DEFINED