latest version v1.9 - last update 10 Apr 2010 |
00001 /* 00002 * Copyright (C) 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006 00003 * Lehrstuhl fuer Technische Informatik, RWTH-Aachen, Germany 00004 * 00005 * This file is part of the LTI-Computer Vision Library (LTI-Lib) 00006 * 00007 * The LTI-Lib is free software; you can redistribute it and/or 00008 * modify it under the terms of the GNU Lesser General Public License (LGPL) 00009 * as published by the Free Software Foundation; either version 2.1 of 00010 * the License, or (at your option) any later version. 00011 * 00012 * The LTI-Lib is distributed in the hope that it will be 00013 * useful, but WITHOUT ANY WARRANTY; without even the implied warranty 00014 * of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 00015 * GNU Lesser General Public License for more details. 00016 * 00017 * You should have received a copy of the GNU Lesser General Public 00018 * License along with the LTI-Lib; see the file LICENSE. If 00019 * not, write to the Free Software Foundation, Inc., 59 Temple Place - 00020 * Suite 330, Boston, MA 02111-1307, USA. 00021 */ 00022 00023 00024 /*---------------------------------------------------------------- 00025 * project ....: LTI Digital Image/Signal Processing Library 00026 * file .......: ltiSplitImageToHSI.h 00027 * authors ....: Pablo Alvarado, Stefan Syberichs, Thomas Rusert 00028 * organization: LTI, RWTH Aachen 00029 * creation ...: 19.04.99 00030 * revisions ..: $Id: ltiSplitImageToHSI.h,v 1.4 2006/02/08 11:53:24 ltilib Exp $ 00031 */ 00032 00033 #ifndef _LTI_SPLIT_IMAGE_TO_HSI_H_ 00034 #define _LTI_SPLIT_IMAGE_TO_HSI_H_ 00035 00036 #include "ltiSplitImage.h" 00037 00038 namespace lti { 00039 00040 // declared somewhere else... 00041 template<class T> class triMatrix; 00042 00043 /** 00044 * Split image in its Hue - Saturation - Intensity channels 00045 * 00046 * @ingroup gColor 00047 */ 00048 class splitImageToHSI : public splitImage { 00049 public: 00050 /** 00051 * Constructor 00052 */ 00053 splitImageToHSI(void); 00054 00055 /** 00056 * returns the name of this type 00057 */ 00058 virtual const char* getTypeName() const; 00059 00060 /** 00061 * returns a pointer to a clone of the functor. 00062 */ 00063 virtual functor* clone() const; 00064 00065 /** 00066 * split the image in hue channel H, saturation S and intensity 00067 * channel I. 00068 * The values of each image will be between 0.0f and 1.0f 00069 * @param img the image to be splitted 00070 * @param H the hue channel 00071 * @param S the saturation channel 00072 * @param I the intensity channel 00073 */ 00074 virtual bool apply(const image& img, 00075 channel& H, 00076 channel& S, 00077 channel& I) const; 00078 00079 /** 00080 * split the image in hue channel H, saturation S and intensity 00081 * channel I. 00082 * The values of each image will be between 0 and 255 00083 * @param img the image to be splitted 00084 * @param H the hue channel 00085 * @param S the saturation channel 00086 * @param I the intensity channel 00087 */ 00088 virtual bool apply(const image& img, 00089 channel8& H, 00090 channel8& S, 00091 channel8& I) const; 00092 00093 /** 00094 * split the pixel in hue value H, saturation S and intensity 00095 * value I. 00096 * The values of each pixel will be between 0.0f and 1.0f 00097 * @param pixel the pixel to be splitted 00098 * @param H the hue value 00099 * @param S the saturation value 00100 * @param I the intensity value 00101 */ 00102 virtual bool apply(const rgbPixel& pixel, 00103 float& H, 00104 float& S, 00105 float& I) const; 00106 00107 /** 00108 * split the pixel in hue value H, saturation S and intensity 00109 * value I. 00110 * The values of each pixel will be between 0 and 255 00111 * @param pixel the pixel to be splitted 00112 * @param H the hue value 00113 * @param S the saturation value 00114 * @param I the intensity value 00115 */ 00116 virtual bool apply(const rgbPixel& pixel, 00117 ubyte& H, 00118 ubyte& S, 00119 ubyte& I) const; 00120 00121 /** 00122 * return the hue of the image. If you need also the saturation and 00123 * the intensity please use the apply methods, which are much faster! 00124 */ 00125 bool getHue(const image& img, channel& hue) const; 00126 00127 /** 00128 * return the hue of the image. If you need also the saturation and 00129 * the intensity please use the apply methods, which are much faster! 00130 */ 00131 bool getHue(const image& img, channel8& hue) const; 00132 00133 /** 00134 * return the saturation of the image. If you need also the hue and 00135 * the intensity please use the apply methods, which are much faster! 00136 */ 00137 bool getSaturation(const image& img, channel& saturation) const; 00138 00139 /** 00140 * return the saturation of the image. If you need also the hue and 00141 * the saturation please use the apply methods, which are much faster! 00142 */ 00143 bool getSaturation(const image& img, channel8& saturation) const; 00144 00145 /** 00146 * return the intensity of the image. If you need also the hue and 00147 * the intensity please use the apply methods, which are much faster! 00148 */ 00149 bool getIntensity(const image& img, channel& intensity) const; 00150 00151 /** 00152 * return the intensity of the image. If you need also the hue and 00153 * the intensity please use the apply methods, which are much faster! 00154 */ 00155 bool getIntensity(const image& img, channel8& intensity) const; 00156 00157 00158 /** 00159 * Returns the first of the three channels into which the image is split. 00160 * If you need only one channel, this might be faster than calling apply(). 00161 * @param img the source image 00162 * @param c1 the extracted channel 00163 */ 00164 virtual bool getFirst(const image& img, channel& c1) const; 00165 00166 /** 00167 * Returns the first of the three channels into which the image is split. 00168 * If you need only one channel, this might be faster than calling apply(). 00169 * @param img the source image 00170 * @param c1 the extracted channel 00171 */ 00172 virtual bool getFirst(const image& img, channel8& c1) const; 00173 00174 /** 00175 * Returns the second of the three channels into which the image is split. 00176 * If you need only one channel, this might be faster than calling apply(). 00177 * @param img the source image 00178 * @param c2 the extracted channel 00179 */ 00180 virtual bool getSecond(const image& img, channel& c2) const; 00181 00182 /** 00183 * Returns the second of the three channels into which the image is split. 00184 * If you need only one channel, this might be faster than calling apply(). 00185 * @param img the source image 00186 * @param c2 the extracted channel 00187 */ 00188 virtual bool getSecond(const image& img, channel8& c2) const; 00189 00190 /** 00191 * Returns the third of the three channels into which the image is split. 00192 * If you need only one channel, this might be faster than calling apply(). 00193 * @param img the source image 00194 * @param c3 the extracted channel 00195 */ 00196 virtual bool getThird(const image& img, channel& c3) const; 00197 00198 /** 00199 * Returns the third of the three channels into which the image is split. 00200 * If you need only one channel, this might be faster than calling apply(). 00201 * @param img the source image 00202 * @param c3 the extracted channel 00203 */ 00204 virtual bool getThird(const image& img, channel8& c3) const; 00205 00206 private: 00207 /** 00208 * Triangular matrix for RGB-HSI-Conversion 00209 */ 00210 static triMatrix<int>* HueHSI; 00211 00212 /** 00213 * HueHSI initialized? 00214 * The conversion matrix (LUT) needs to be initialized only once! 00215 */ 00216 static bool hueInitialized; 00217 }; 00218 00219 } // namespace lti 00220 #endif