00001 /*!@file Image/PixelsCommonDef.H Basic pixel types version 2.0 */ 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: T. Nathan Mundhenk <mundhenk@usc.edu> 00034 // $HeadURL: svn://isvn.usc.edu/software/invt/trunk/saliency/src/Image/PixelsCommonDef.H $ 00035 // $Id: PixelsCommonDef.H 12962 2010-03-06 02:13:53Z irock $ 00036 // 00037 00038 #ifndef PIXELSCOMMONDEF_H_DEFINED 00039 #define PIXELSCOMMONDEF_H_DEFINED 00040 00041 #include "Image/PixelsBase.H" 00042 00043 // ###################################################################### 00044 // ###################################################################### 00045 // Commonly used conversion template defs 00046 // 00047 // Use this file to place pixels type conversions IFF you use them more 00048 // than once. For instance HSV and RGB conversions are used in several 00049 // places. So to reduce redundancy, they are placed here 00050 // 00051 // ###################################################################### 00052 // ###################################################################### 00053 00054 // ###################################################################### 00055 /*! RGB to HSV 00056 00057 RGB is converted from HSV in a simple way 00058 00059 I. Get some easy work done: 00060 (1) If Value V = 0, then we are done, color is black set R,G,B to 0 00061 (2) If Saturation S = 0, no color is dominant, set to some gray color 00062 00063 II. Hue is valued from 0 to 360, we chunk the space into 60 degree 00064 increments. At each 60 degrees we use a slightly different formula. 00065 In general we will assign and set R,G and B exclusively as: 00066 00067 (1) We set the most dominant color: 00068 00069 (a) If H is 300 -> 60 , set R = V 00070 (b) If H is 60 -> 180, set G = V 00071 (c) If H is 180 -> 300, set B = V 00072 00073 (2) The least dominant color is set as: 00074 00075 pv = Value * ( 1 - Saturation ) 00076 00077 (3) The last remaining color is set as: 00078 00079 Either: 00080 00081 (a) qv = Value * ( 1 - Saturation * (Hue/60) - floor(Hue/60)) 00082 (b) tv = Value * ( 1 - Saturation * ( 1 - ((Hue/60) - floor(Hue/60)))) 00083 00084 III. Clean up, here we allow for i to be -1 or 6 just in case we have a 00085 very small floating point error otherwise, we have an undefined input. 00086 00087 IV. Normalize R,G and B from 0 to 255. 00088 00089 Note: S and V should be normalized between 0 and 1 prior to using this 00090 template. H should be its normal 0 to 360. You can do this using 00091 the built in limit definitions: 00092 00093 const double new_v = v / HSV_V_UPPER; // Normalize from 0 to 1 00094 const double new_s = s / HSV_S_UPPER; // Normalize from 0 to 1 00095 */ 00096 // ###################################################################### 00097 #define PIX_HSV_TO_RGB_COMMON(H,S,V,R,G,B) \ 00098 if( V == 0 ) \ 00099 { R = 0; G = 0; B = 0; } \ 00100 else if( S == 0 ) \ 00101 { \ 00102 R = clamped_convert<T>(V); \ 00103 G = clamped_convert<T>(V); \ 00104 B = clamped_convert<T>(V); \ 00105 } \ 00106 else \ 00107 { \ 00108 const double hf = H / 60.0; \ 00109 const int i = (int) floor( hf ); \ 00110 const double f = hf - i; \ 00111 const double pv = V * ( 1 - S ); \ 00112 const double qv = V * ( 1 - S * f ); \ 00113 const double tv = V * ( 1 - S * ( 1 - f ) ); \ 00114 switch( i ) \ 00115 { \ 00116 case 0: \ 00117 R = clamped_convert<T>(V); \ 00118 G = clamped_convert<T>(tv); \ 00119 B = clamped_convert<T>(pv); \ 00120 break; \ 00121 case 1: \ 00122 R = clamped_convert<T>(qv); \ 00123 G = clamped_convert<T>(V); \ 00124 B = clamped_convert<T>(pv); \ 00125 break; \ 00126 case 2: \ 00127 R = clamped_convert<T>(pv); \ 00128 G = clamped_convert<T>(V); \ 00129 B = clamped_convert<T>(tv); \ 00130 break; \ 00131 case 3: \ 00132 R = clamped_convert<T>(pv); \ 00133 G = clamped_convert<T>(qv); \ 00134 B = clamped_convert<T>(V); \ 00135 break; \ 00136 case 4: \ 00137 R = clamped_convert<T>(tv); \ 00138 G = clamped_convert<T>(pv); \ 00139 B = clamped_convert<T>(V); \ 00140 break; \ 00141 case 5: \ 00142 R = clamped_convert<T>(V); \ 00143 G = clamped_convert<T>(pv); \ 00144 B = clamped_convert<T>(qv); \ 00145 break; \ 00146 case 6: \ 00147 R = clamped_convert<T>(V); \ 00148 G = clamped_convert<T>(tv); \ 00149 B = clamped_convert<T>(pv); \ 00150 break; \ 00151 case -1: \ 00152 R = clamped_convert<T>(V); \ 00153 G = clamped_convert<T>(pv); \ 00154 B = clamped_convert<T>(qv); \ 00155 break; \ 00156 default: \ 00157 LFATAL("i Value error in Pixel conversion, Value is %d",i); \ 00158 break; \ 00159 } \ 00160 } \ 00161 R *= RGB_R_UPPER; \ 00162 G *= RGB_G_UPPER; \ 00163 B *= RGB_B_UPPER; 00164 00165 // ###################################################################### 00166 /*! HSV to RGB 00167 00168 HSV is converted from RGB in a simple way 00169 00170 I. First compute the base H,S and V 00171 00172 (1) H - Hue if Color1 is Max then H = ( Color2 - Color3 ) / ( Max - Min ) 00173 (2) S - Saturation is S = Max - Min / Max; 00174 (3) V - Value is V = max of either R,G or B 00175 00176 II. Normalize the values 00177 00178 General H,S,V has ranges: 00179 0 < Hue < 360 00180 0 < Sat < 100 00181 0 < Val < 255 00182 00183 (1) H - Hue: 00184 if Red H *= 60 00185 if Green H += 2; H *= 60 00186 if Blue H += 4; H *= 60 00187 In essence this forces the recognizable 0-360 value seen in hue 00188 (2) S - May be S *= 100 , I like in some cases to keep it from 0 to 1 00189 (3) V - is V *= 255 00190 00191 there are some other bells and whistles to take care of divide by zero 00192 conditions and other such singularities. For instance if Max = Min then 00193 we need to fudge hue 00194 00195 Note: Set NORM to true for normal HSV conversions. This will make the 00196 values use normal HSV range. Setting NORM to false forces H,S and V 00197 to range between 0 and 1. This is useful if next you will convert 00198 to H2SV color space. 00199 00200 R, G and B are assumed to be between 0 and 255. 00201 */ 00202 // ###################################################################### 00203 #define PIX_RGB_TO_HSV_COMMON(R,G,B,H,S,V,NORM) \ 00204 if((B > G) && (B > R)) \ 00205 { \ 00206 V = clamped_convert<T>(B); \ 00207 if(V != 0) \ 00208 { \ 00209 double min; \ 00210 if(R > G) min = G; \ 00211 else min = R; \ 00212 const double delta = V - min; \ 00213 if(delta != 0) \ 00214 { S = clamped_convert<T>(delta/V); H = 4 + (R - G) / delta; } \ 00215 else \ 00216 { S = clamped_convert<T>(0.0); H = 4 + (R - G); } \ 00217 H *= 60; if(H < 0) H += 360; \ 00218 if(!NORM) V = clamped_convert<T>(V/255); \ 00219 else S *= clamped_convert<T>(100); \ 00220 } \ 00221 else \ 00222 { S = 0; H = 0;} \ 00223 } \ 00224 else if(G > R) \ 00225 { \ 00226 V = clamped_convert<T>(G); \ 00227 if(V != 0) \ 00228 { \ 00229 double min; \ 00230 if(R > B) min = B; \ 00231 else min = R; \ 00232 const double delta = V - min; \ 00233 if(delta != 0) \ 00234 { S = clamped_convert<T>(delta/V); H = 2 + (B - R) / delta; } \ 00235 else \ 00236 { S = clamped_convert<T>(0.0); H = 2 + (B - R); } \ 00237 H *= 60; if(H < 0) H += 360; \ 00238 if(!NORM) V = clamped_convert<T>(V/255); \ 00239 else S *= clamped_convert<T>(100); \ 00240 } \ 00241 else \ 00242 { S = 0; H = 0;} \ 00243 } \ 00244 else \ 00245 { \ 00246 V = clamped_convert<T>(R); \ 00247 if(V != 0) \ 00248 { \ 00249 double min; \ 00250 if(G > B) min = B; \ 00251 else min = G; \ 00252 const double delta = V - min; \ 00253 if(delta != 0) \ 00254 { S = clamped_convert<T>(delta/V); H = (G - B) / delta; } \ 00255 else \ 00256 { S = clamped_convert<T>(0.0); H = (G - B); } \ 00257 H *= 60; if(H < 0) H += 360; \ 00258 if(!NORM) V = clamped_convert<T>(V/255); \ 00259 else S *= clamped_convert<T>(100); \ 00260 } \ 00261 else \ 00262 { S = 0; H = 0;} \ 00263 } 00264 00265 // ###################################################################### 00266 /*! HSV to H2SV1 00267 We convert HSV to H2SV1 (or H2SV2 etc) by converting hue which is 00268 in radial coordinates 0 - 360 and converting it to cartesian coordinates 00269 00270 The precise coordinate transform is flexable, so long as it is invertable 00271 here, we treat r (hue) as falling along a straight line. We could also in 00272 another method treat it as if it is on a circle. 00273 00274 --> All final values normalize from 0 to 1 00275 */ 00276 // ###################################################################### 00277 #define PIX_HSV_TO_H2SV1_COMMON(H,S,H1,H2) \ 00278 if(S == 0) \ 00279 { \ 00280 H1 = clamped_convert<T>(0.5); \ 00281 H2 = clamped_convert<T>(0.5); \ 00282 } \ 00283 else \ 00284 { \ 00285 if(H > 180) \ 00286 { \ 00287 H2 = clamped_convert<T>((H - 180)/180); \ 00288 if(H > 270) H1 = clamped_convert<T>((H - 270)/180); \ 00289 else H1 = clamped_convert<T>(1 - (H - 90)/180); \ 00290 } \ 00291 else \ 00292 { \ 00293 H2 = clamped_convert<T>(1 - H/180); \ 00294 if(H > 90) H1 = clamped_convert<T>(1 - (H - 90)/180); \ 00295 else H1 = clamped_convert<T>(0.5 + H/180); \ 00296 } \ 00297 } 00298 00299 // ###################################################################### 00300 /*! HSV to H2SV2 00301 We convert HSV to H2SV1 (or H2SV2 etc) by converting hue which is 00302 in radial coordinates 0 - 360 and converting it to cartesian coordinates 00303 00304 The precise coordinate transform is flexable, so long as it is invertable 00305 here, we treat r (hue) as falling along a straight line. We could also in 00306 another method treat it as if it is on a circle. 00307 00308 This variant is designed to make H1 and H2 mimmic R/G B/Y opponencies 00309 Thus: 00310 00311 (1) H1 is 0 at Blue and 1 at Yellow 00312 (2) H2 is 0 at Green and 1 at Red 00313 00314 --> All final values normalize from 0 to 1 00315 00316 Note: We can also use these templates on HSL color space since 00317 HSV and HSL have the exact same basis for hue. 00318 00319 */ 00320 // ###################################################################### 00321 #define PIX_HSV_TO_H2SV2_COMMON(H,S,H1,H2) \ 00322 if(S == 0) \ 00323 { \ 00324 H1 = clamped_convert<T>(0.5); \ 00325 H2 = clamped_convert<T>(0.5); \ 00326 } \ 00327 else \ 00328 { \ 00329 if(H > 120) \ 00330 { \ 00331 H2 = clamped_convert<T>((H - 120)/240); \ 00332 if(H > 240) H1 = clamped_convert<T>((H - 240)/180); \ 00333 else H1 = clamped_convert<T>(1 - (H - 60)/180); \ 00334 } \ 00335 else \ 00336 { \ 00337 H2 = clamped_convert<T>(1 - H/120); \ 00338 if(H > 60) H1 = clamped_convert<T>(1 - (H - 60)/180); \ 00339 else H1 = clamped_convert<T>((2.0/3.0) + H/180); \ 00340 } \ 00341 } 00342 00343 // ###################################################################### 00344 /*! H2SV1 to HSV NORMAL 00345 Convert H2SV1 to HSV using a simple quick method. 00346 */ 00347 #define PIX_H2SV1_TO_HSV_SIMPLE_COMMON(H1,H2,H) \ 00348 if(H1 > 0.5) \ 00349 if(H2 > 0.5) H = 180 * H1 - 90; \ 00350 else H = 90 + 180 * (1 - H1); \ 00351 else \ 00352 if(H2 <= 0.5) H = 90 + 180 * (1 - H1); \ 00353 else H = 270 + 180 * H1; 00354 00355 00356 // ###################################################################### 00357 /*! H2SV2 to HSV NORMAL 00358 Convert H2SV2 to HSV using a simple quick method. 00359 */ 00360 #define PIX_H2SV2_TO_HSV_SIMPLE_COMMON(H1,H2,H) \ 00361 if(H1 > 2.0/3.0) \ 00362 if(H2 > 0.5) H = 180 * H1 - 120; \ 00363 else H = 60 + 180 * (1 - H1); \ 00364 else \ 00365 if(H2 <= 0.5) H = 60 + 180 * (1 - H1); \ 00366 else H = 240 + 180 * H1; 00367 00368 00369 // ###################################################################### 00370 /*! H2SV2 to HSV ROBUST 00371 Convert H2SV2 to HSV using a robust method that allows us to deal with 00372 H1 and H2 being adjusted independantly. If they are never adjusted 00373 independantly, then use the simple version 00374 00375 The main difference here from simple is that: 00376 (1) We compute xp and replace H1 with it 00377 (2) We compute a new saturation term S_NEW 00378 00379 What makes this robust is that the H1 and H2 coordinates do not have to 00380 match up with the orignal unit coordinates. Instead we compute a slope 00381 term and figure out where it should intersect the original unit coordinates 00382 00383 Saturation may be reduced if we are too far from a viable color coordinate 00384 and have to transform to much. 00385 00386 00387 General Computations: 00388 m: The slope of the H1/H2 lines 00389 xp: The Adjusted H1 (x value) 00390 - Useful if H1 was adjusted indepentant of H2 00391 yp: The Adjusted H2 (y value) 00392 d: The difference between the ideal (xp,yp) value and the real (H1,H2) 00393 ad: The legth of (xp,yp) from the origen 00394 sfac: Adjustment to be applied to saturation if d is large 00395 - Useful if H1 and H2 are close to the origen, thus 00396 saturation should be reduced. 00397 */ 00398 // ###################################################################### 00399 00400 #define PIX_H2SV2_TO_HSV_ROBUST_COMMON(H1,H2,S,H,S_NEW) \ 00401 double sfac = 1; \ 00402 const double x = H1 - 2.0/3.0; \ 00403 if(x > 0) \ 00404 { \ 00405 const double y = H2 - 0.5; \ 00406 const double m = y/x; \ 00407 if(y > 0) \ 00408 { \ 00409 const double xp = 0.5/(m + 3.0/2.0); \ 00410 if(xp > x) \ 00411 { \ 00412 const double yp = 0.5 - 0.5*xp/(1.0/3.0); \ 00413 const double d = sqrt(pow(xp - x,2) + pow(yp - y,2)); \ 00414 const double ad = sqrt(pow(xp,2) + pow(yp,2)); \ 00415 sfac = (ad - d)/ad; \ 00416 } \ 00417 H = 180 * (xp + 2.0/3.0) - 120; \ 00418 } \ 00419 else \ 00420 { \ 00421 const double xp = -0.5/(m - 3.0/2.0); \ 00422 if(xp > x) \ 00423 { \ 00424 const double yp = -1.0 * (0.5 - 0.5*xp/(1.0/3.0)); \ 00425 const double d = sqrt(pow(xp - x,2) + pow(yp - y,2)); \ 00426 const double ad = sqrt(pow(xp,2) + pow(yp,2)); \ 00427 sfac = (ad - d)/ad; \ 00428 } \ 00429 H = 60 + 180 * (1 - (xp + 2.0/3.0)); \ 00430 } \ 00431 } \ 00432 else \ 00433 { \ 00434 if(x != 0) \ 00435 { \ 00436 const double y = H2 - 0.5; \ 00437 const double m = y/x; \ 00438 if(y <= 0) \ 00439 { \ 00440 const double xp = -0.5/(m + 0.5/(2.0/3.0)); \ 00441 if(xp < x) \ 00442 { \ 00443 const double yp = -1.0 * (0.5 + 0.5*xp/(2.0/3.0)); \ 00444 const double d = sqrt(pow(xp - x,2) + pow(yp - y,2)); \ 00445 const double ad = sqrt(pow(xp,2) + pow(yp,2)); \ 00446 sfac = (ad - d)/ad; \ 00447 } \ 00448 H = 60 + 180 * (1 - (xp + 2.0/3.0)); \ 00449 } \ 00450 else \ 00451 { \ 00452 const double xp = 0.5/(m - 0.5/(2.0/3.0)); \ 00453 if(xp < x) \ 00454 { \ 00455 const double yp = 0.5 + 0.5*xp/(2.0/3.0); \ 00456 const double d = sqrt(pow(xp - x,2) + pow(yp - y,2)); \ 00457 const double ad = sqrt(pow(xp,2) + pow(yp,2)); \ 00458 sfac = (ad - d)/ad; \ 00459 } \ 00460 H = 240 + 180 * (xp + 2.0/3.0); \ 00461 } \ 00462 } \ 00463 else \ 00464 H = 240; \ 00465 } \ 00466 S_NEW = S * sfac; 00467 00468 00469 00470 // ###################################################################### 00471 /*! RGB to OpenCV XYZ 00472 00473 This is the XYZ Color space from CIE with the matrix used by OpenCV. 00474 It is very similar to the original one developed by CIE in 1931. 00475 00476 */ 00477 // ###################################################################### 00478 #define PIX_RGB_TO_XYZ_OPENCV_COMMON(R,G,B,X,Y,Z) \ 00479 X = R*0.412453F + G*0.357580F + B*0.180423F; \ 00480 Y = R*0.212671F + G*0.715160F + B*0.072169F; \ 00481 Z = R*0.019334F + G*0.119193F + B*0.950227F; 00482 00483 // ###################################################################### 00484 /*! RGB to CIE 1931 XYZ 00485 00486 This is the original CIE XYZ colorspace developed in 1931. 00487 */ 00488 // ###################################################################### 00489 #define PIX_RGB_TO_XYZ_CIE1931_COMMON(R,G,B,X,Y,Z) \ 00490 X = R*0.49F + G*0.31F + B*0.2F; \ 00491 Y = R*0.1769F + G*0.8124F + B*0.0107F; \ 00492 Z = R*0.0F + G*0.0099F + B*0.9901F; 00493 00494 // ###################################################################### 00495 /*! OpenCV XYZ to RGB 00496 00497 This is the XYZ Color space from CIE with the matrix used by OpenCV. 00498 It is very similar to the original one developed by CIE in 1931. 00499 00500 */ 00501 // ###################################################################### 00502 #define PIX_XYZ_TO_RGB_OPENCV_COMMON(X,Y,Z,R,G,B) \ 00503 R = X*3.240479F - Y*1.53715F - Z*0.498535F; \ 00504 G = -1.0F*X*0.969256F + Y*1.875991F + Z*0.041556F; \ 00505 B = X*0.055648F - Y*0.204043F + Z*1.057311F; 00506 00507 // ###################################################################### 00508 /*! XYZ to CIE Lab - OpenCV XYZ 00509 00510 This is the Lab conversion using OpenCV XYZ color space as a basis. 00511 Use the OpenCV XYZ and Lab in conjunction to create the OpenCV version 00512 of Lab Color space. 00513 00514 L - Is a chroma measure that encapsulates saturation and intensity. 00515 a - Is basically a Red/Green color opponent. 00516 b - Is basically a Blue/Yellow color opponent 00517 00518 */ 00519 #define A_GAMUT_RANGE 186.0F 00520 #define A_GAMUT_MIN -87.0F 00521 #define B_GAMUT_RANGE 203.0F 00522 #define B_GAMUT_MIN -108.0F 00523 00524 // ###################################################################### 00525 #define PIX_XYZ_TO_LAB_OPENCV_COMMON(X,Y,Z,L,A,B) \ 00526 const double i = 1.0F /3.0F; \ 00527 const double n = 16.0F/116.0F; \ 00528 const double t = 0.00885645F; \ 00529 const double s = 7.78704F; \ 00530 const double Xn = 255.0F*0.412453F + 255.0F*0.357580F + 255.0F*0.180423F;\ 00531 const double Yn = 255.0F*0.212671F + 255.0F*0.715160F + 255.0F*0.072169F;\ 00532 const double Zn = 255.0F*0.019334F + 255.0F*0.119193F + 255.0F*0.950227F;\ 00533 const double X1 = X/Xn; \ 00534 const double Y1 = Y/Yn; \ 00535 const double Z1 = Z/Zn; \ 00536 double X2,Y2,Z2; \ 00537 if(X1 > t) X2 = pow(X1,i); \ 00538 else X2 = s*X1 + n; \ 00539 if(Y1 > t) Y2 = pow(Y1,i); \ 00540 else Y2 = s*Y1 + n; \ 00541 if(Z1 > t) Z2 = pow(Z1,i); \ 00542 else Z2 = s*Z1 + n; \ 00543 L = (116.0F * Y2 - 16.0F) * 255.0F/100.0F; \ 00544 A = ((500.0F * (X2 - Y2) - A_GAMUT_MIN)/A_GAMUT_RANGE)*255.0F; \ 00545 B = ((200.0F * (Y2 - Z2) - B_GAMUT_MIN)/B_GAMUT_RANGE)*255.0F; 00546 00547 // ###################################################################### 00548 /*! XYZ to CIE Lab - CIE 1931 00549 00550 This is the Lab conversion using CIE 1931 XYZ color space as a basis. 00551 Use the CIE 1931 XYZ and Lab in conjunction to create the basic CIE version 00552 of Lab Color space. 00553 00554 L - Is intensity. 00555 a - Is basically a Red/Green color opponent. 00556 b - Is basically a Blue/Yellow color opponent 00557 */ 00558 // ###################################################################### 00559 #define PIX_XYZ_TO_LAB_CIE1931_COMMON(X,Y,Z,L,A,B) \ 00560 const double i = 1.0F /3.0F; \ 00561 const double n = 16.0F/116.0F; \ 00562 const double t = 0.00885645F; \ 00563 const double s = 7.78704F; \ 00564 const double Xn = 255.0F*0.49F + 255.0F*0.31F + 255.0F*0.2F; \ 00565 const double Yn = 255.0F*0.1769F + 255.0F*0.8124F + 255.0F*0.0107F; \ 00566 const double Zn = 255.0F*0.0F + 255.0F*0.0099F + 255.0F*0.9901F; \ 00567 const double X1 = X/Xn; \ 00568 const double Y1 = Y/Yn; \ 00569 const double Z1 = Z/Zn; \ 00570 double X2,Y2,Z2; \ 00571 if(X1 > t) X2 = pow(X1,i); \ 00572 else X2 = s*X1 + n; \ 00573 if(Y1 > t) Y2 = pow(Y1,i); \ 00574 else Y2 = s*Y1 + n; \ 00575 if(Z1 > t) Z2 = pow(Z1,i); \ 00576 else Z2 = s*Z1 + n; \ 00577 L = (116.0F * Y2 - 16.0F) * 255.0F/100.0F; \ 00578 A = (500.0F * (X2 - Y2)) + 128.0F; \ 00579 B = (200.0F * (Y2 - Z2)) + 128.0F; 00580 // ###################################################################### 00581 /*! XYZ to CIE Lab - Augmented to Favor Red (Experimental) 00582 00583 This is the Lab conversion using OpenCV XYZ color space as a basis. 00584 Use the OpenCV XYZ and Lab in conjunction to create the OpenCV version 00585 of Lab Color space. 00586 00587 L - Is a chroma measure that encapsulates saturation and intensity. 00588 a - Is basically a Red/Green color opponent. 00589 b - Is basically a Blue/Yellow color opponent 00590 00591 */ 00592 // ###################################################################### 00593 #define PIX_XYZ_TO_LAB_AUGMENT_COMMON(X,Y,Z,L,A,B) \ 00594 const double i = 1.0F /3.0F; \ 00595 const double n = 16.0F/116.0F; \ 00596 const double t = 0.00885645F; \ 00597 const double s = 7.78704F; \ 00598 const double Xn = 255.0F*0.412453F + 255.0F*0.357580F + 255.0F*0.180423F;\ 00599 const double Yn = 255.0F*0.212671F + 255.0F*0.715160F + 255.0F*0.072169F;\ 00600 const double Zn = 255.0F*0.019334F + 255.0F*0.119193F + 255.0F*0.950227F;\ 00601 const double X1 = X/Xn; \ 00602 const double Y1 = Y/Yn; \ 00603 const double Z1 = Z/Zn; \ 00604 double X2,Y2,Z2; \ 00605 if(X1 > t) X2 = pow(X1,i); \ 00606 else X2 = s*X1 + n; \ 00607 if(Y1 > t) Y2 = pow(Y1,i); \ 00608 else Y2 = s*Y1 + n; \ 00609 if(Z1 > t) Z2 = pow(Z1,i); \ 00610 else Z2 = s*Z1 + n; \ 00611 L = (116.0F * Y2 - 16.0F) * 255.0F/100.0F; \ 00612 if(Y2 > X2) A = (500.0F * (X2 - Y2)) + 128.0F; \ 00613 else A = (500.0F * (X2 - Y2)) + 128.0F; \ 00614 B = (200.0F * (Y2 - Z2)) + 128.0F; 00615 00616 // ###################################################################### 00617 /*! Lab to CIE XYZ - OpenCV XYZ 00618 00619 This is the Lab conversion using OpenCV XYZ color space as a basis. 00620 Use the OpenCV XYZ and Lab in conjunction to create the OpenCV version 00621 of Lab Color space. 00622 00623 L - Is intensity. 00624 a - Is basically a Red/Green color opponent. 00625 b - Is basically a Blue/Yellow color opponent 00626 00627 */ 00628 // ###################################################################### 00629 00630 #define PIX_LAB_TO_XYZ_OPENCV_COMMON(L,A,B,X,Y,Z) \ 00631 const double LL = L * 100.0F/255.0F; \ 00632 const double AA = ((A/255.0F) * A_GAMUT_RANGE + A_GAMUT_MIN); \ 00633 const double BB = ((B/255.0F) * B_GAMUT_RANGE + B_GAMUT_MIN); \ 00634 const double d = 6.0F/29.0F; \ 00635 const double ds = d*d; \ 00636 const double n = 16.0F/116.0F; \ 00637 const double Xn = 255.0F*0.412453F + 255.0F*0.357580F + 255.0F*0.180423F;\ 00638 const double Yn = 255.0F*0.212671F + 255.0F*0.715160F + 255.0F*0.072169F;\ 00639 const double Zn = 255.0F*0.019334F + 255.0F*0.119193F + 255.0F*0.950227F;\ 00640 const double Fy = (LL + 16)/116; \ 00641 const double Fx = Fy + AA/500.0F; \ 00642 const double Fz = Fy - BB/200.0F; \ 00643 if(Fy > d) Y = Yn*pow(Fy,3); \ 00644 else Y = (Fy - n)*3*ds*Yn; \ 00645 if(Fx > d) X = Xn*pow(Fx,3); \ 00646 else X = (Fx - n)*3*ds*Xn; \ 00647 if(Fz > d) Z = Zn*pow(Fz,3); \ 00648 else Z = (Fz - n)*3*ds*Zn; \ 00649 00650 // ###################################################################### 00651 /*! Lab to CIE XYZ - CIE XYZ 00652 00653 This is the Lab conversion using OpenCV XYZ color space as a basis. 00654 Use the OpenCV XYZ and Lab in conjunction to create the OpenCV version 00655 of Lab Color space. 00656 00657 L - Is intensity. 00658 a - Is basically a Red/Green color opponent. 00659 b - Is basically a Blue/Yellow color opponent 00660 00661 */ 00662 // ###################################################################### 00663 #define PIX_LAB_TO_XYZ_CIE1931_COMMON(L,A,B,X,Y,Z) \ 00664 const double LL = L * 100.0F/255.0F; \ 00665 const double AA = A - 128.0F; \ 00666 const double BB = B - 128.0F; \ 00667 const double d = 6.0F/29.0F; \ 00668 const double ds = d*d; \ 00669 const double n = 16.0F/116.0F; \ 00670 const double Xn = 255.0F*0.49F + 255.0F*0.31F + 255.0F*0.2F; \ 00671 const double Yn = 255.0F*0.1769F + 255.0F*0.8124F + 255.0F*0.0107F; \ 00672 const double Zn = 255.0F*0.0F + 255.0F*0.0099F + 255.0F*0.9901F; \ 00673 const double Fy = (LL + 16)/116; \ 00674 const double Fx = Fy + AA/500.0F; \ 00675 const double Fz = Fy - BB/200.0F; \ 00676 if(Fy > d) Y = Yn*pow(Fy,3); \ 00677 else Y = (Fy - n)*3*ds*Yn; \ 00678 if(Fx > d) X = Xn*pow(Fx,3); \ 00679 else X = (Fx - n)*3*ds*Xn; \ 00680 if(Fz > d) Z = Zn*pow(Fz,3); \ 00681 else Z = (Fz - n)*3*ds*Zn; \ 00682 00683 #endif