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CIEDE2000色差公式(matlab程序)

(2012-06-10 15:44:53)
标签:

matlab

cie2000

ciede2000

色差

色差公式

matlab程序

杂谈

分类: 色彩学

function de00 = deltaE2000(Labstd,Labsample, KLCH)
%function de00 = deltaE2000(Labstd,Labsample, KLCH )
% Compute the CIEDE2000 color-difference between the sample between a reference
% with CIELab coordinates Labsample and a standard with CIELab coordinates
% Labstd
% The function works on multiple standard and sample vectors too
% provided Labstd and Labsample are K x 3 matrices with samples and
% standard specification in corresponding rows of Labstd and Labsample
% The optional argument KLCH is a 1x3 vector containing the
% the value of the parametric weighting factors kL, kC, and kH
% these default to 1 if KLCH is not specified.

% Based on the article:
% "The CIEDE2000 Color-Difference Formula: Implementation Notes,
% Supplementary Test Data, and Mathematical Observations,", G. Sharma,
% W. Wu, E. N. Dalal, submitted to Color Research and Application,
% January 2004.
% available at http://www.ece.rochester.edu/~/gsharma/ciede2000/


  Labstd为标样数据,Labsample为另一组数据,均为n×3矩阵;
  KLCH为实验条件下的校正项。为1×3矩阵。

de00 = [];

% Error checking to ensure that sample and Std vectors are of correct sizes
v=size(Labstd); w = size(Labsample);
if ( v(1) ~= w(1) || v(2) ~= w(2) )
  disp('deltaE00: Standard and Sample sizes do not match');
  return
end % if ( v(1) ~= w(1) || v(2) ~= w(2) )
if ( v(2) ~= 3)
  disp('deltaE00: Standard and Sample Lab vectors should be Kx3  vectors');
  return
end

% Parametric factors
if (nargin <3 )
     % Values of Parametric factors not specified use defaults
     kl = 1; kc=1; kh =1;
else
     % Use specified Values of Parametric factors
     if ( (size(KLCH,1) ~=1) | (size(KLCH,2) ~=3))
       disp('deltaE00: KLCH must be a 1x3  vector');
       return;
    else
       kl =KLCH(1); kc=KLCH(2); kh =KLCH(3);
     end
end

Lstd = Labstd(:,1)';
astd = Labstd(:,2)';
bstd = Labstd(:,3)';
Cabstd = sqrt(astd.^2+bstd.^2);

Lsample = Labsample(:,1)';
asample = Labsample(:,2)';
bsample = Labsample(:,3)';
Cabsample = sqrt(asample.^2+bsample.^2);
 
Cabarithmean = (Cabstd + Cabsample)/2;

G = 0.5* ( 1 - sqrt( (Cabarithmean.^7)./(Cabarithmean.^7 + 25^7)));

apstd = (1+G).*astd; % aprime in paper
apsample = (1+G).*asample; % aprime in paper
Cpsample = sqrt(apsample.^2+bsample.^2);
Cpstd = sqrt(apstd.^2+bstd.^2);
% Compute product of chromas and locations at which it is zero for use later
Cpprod = (Cpsample.*Cpstd);
zcidx = find(Cpprod == 0);


% Ensure hue is between 0 and 2pi
% NOTE: MATLAB already defines atan2(0,0) as zero but explicitly set it
% just in case future definitions change
hpstd = atan2(bstd,apstd);
hpstd = hpstd+2*pi*(hpstd < 0);  % rollover ones that come -ve
hpstd(find( (abs(apstd)+abs(bstd))== 0) ) = 0;
hpsample = atan2(bsample,apsample);
hpsample = hpsample+2*pi*(hpsample < 0);
hpsample(find( (abs(apsample)+abs(bsample))==0) ) = 0;

dL = (Lsample-Lstd);
dC = (Cpsample-Cpstd);
% Computation of hue difference
dhp = (hpsample-hpstd);
dhp = dhp - 2*pi* (dhp > pi );
dhp = dhp + 2*pi* (dhp < (-pi) );
% set chroma difference to zero if the product of chromas is zero
dhp(zcidx ) = 0;

% Note that the defining equations actually need
% signed Hue and chroma differences which is different
% from prior color difference formulae

dH = 2*sqrt(Cpprod).*sin(dhp/2);
%dH2 = 4*Cpprod.*(sin(dhp/2)).^2;

% weighting functions
Lp = (Lsample+Lstd)/2;
Cp = (Cpstd+Cpsample)/2;
% Average Hue Computation
% This is equivalent to that in the paper but simpler programmatically.
% Note average hue is computed in radians and converted to degrees only
% where needed
hp = (hpstd+hpsample)/2;
% Identify positions for which abs hue diff exceeds 180 degrees
hp = hp - ( abs(hpstd-hpsample)  > pi ) *pi;
% rollover ones that come -ve
hp = hp+ (hp < 0) *2*pi;
% Check if one of the chroma values is zero, in which case set
% mean hue to the sum which is equivalent to other value
hp(zcidx) = hpsample(zcidx)+hpstd(zcidx);

Lpm502 = (Lp-50).^2;
Sl = 1 + 0.015*Lpm502./sqrt(20+Lpm502); 
Sc = 1+0.045*Cp;
T = 1 - 0.17*cos(hp - pi/6 ) + 0.24*cos(2*hp) + 0.32*cos(3*hp+pi/30) ...
    -0.20*cos(4*hp-63*pi/180);
Sh = 1 + 0.015*Cp.*T;
delthetarad = (30*pi/180)*exp(- ( (180/pi*hp-275)/25).^2);
Rc =  2*sqrt((Cp.^7)./(Cp.^7 + 25^7));
RT =  - sin(2*delthetarad).*Rc;

klSl = kl*Sl;
kcSc = kc*Sc;
khSh = kh*Sh;

% The CIE 00 color difference
de00 = sqrt( (dL./klSl).^2 + (dC./kcSc).^2 + (dH./khSh).^2 + RT.*(dC./kcSc).*(dH./khSh) );

return

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