Convert RGB image to other color spaces (highly optimized).
If colorSpace=='gray' transforms I to grayscale. The output is within
numerical error of Matlab's rgb2gray, except ~10x faster. The output in
this case is hxwx1, and while the input must be hxwx3 for all other
cases, the input for this case can also be hxwx1 (normalization only).
If colorSpace=='hsv' transforms I to the HSV color space. The output is
within numerical error of Matlab's rgb2hsv, except ~15x faster.
If colorSpace=='rgb' or colorSpace='orig' only normalizes I to be in the
range [0,1]. In this case both the input and output may have an arbitrary
number of channels (that is I may be [hxwxd] for any d).
If colorSpace=='luv' transforms I to the LUV color space. The LUV color
space is "perceptually uniform" (meaning that two colors equally distant
in the color space according to the Euclidean metric are equally distant
perceptually). The L,u,v channels correspond roughly to luminance,
green-red, blue-yellow. For more information see:
http://en.wikipedia.org/wiki/CIELUV - using this color spaces
http://en.wikipedia.org/wiki/CIELAB - more info about color spaces
The LUV channels are normalized to fall in ~[0,1]. Without normalization
the ranges are L~[0,100], u~[-88,182], and v~[-134,105] (and typically
u,v~[-100,100]). The applied transformation is L=L/270, u=(u+88)/270, and
v=(v+134)/270. This results in ranges L~[0,.37], u~[0,1], and v~[0,.89].
Perceptual uniformity is maintained since divisor is constant
(normalizing each color channel independently would break uniformity).
To undo the normalization on an LUV image J use:
J=J*270; J(:,:,2)=J(:,:,2)-88; J(:,:,3)=J(:,:,3)-134;
To test the range of the colorSpace use:
R=100; I=zeros(R^3,1,3); k=1; R=linspace(0,1,R);
for r=R, for g=R, for b=R, I(k,1,:)=[r g b]; k=k+1; end; end; end
J=rgbConvert(I,'luv'); [min(J), max(J)]
This code requires SSE2 to compile and run (most modern Intel and AMD
processors support SSE2). Please see: http://en.wikipedia.org/wiki/SSE2.
USAGE
J = rgbConvert( I, colorSpace, [useSingle] );
INPUTS
I - [hxwx3] input rgb image (uint8 or single/double in [0,1])
colorSpace - ['luv'] other choices include: 'gray', 'hsv', 'rgb', 'orig'
useSingle - [true] determines output type (faster if useSingle)
OUTPUTS
J - [hxwx3] single or double output image (normalized to [0,1])
EXAMPLE - luv
I = imread('peppers.png');
tic, J = rgbConvert( I, 'luv' ); toc
figure(1); montage2( J );
EXAMPLE - hsv
I=imread('peppers.png');
tic, J1=rgb2hsv( I ); toc
tic, J2=rgbConvert( I, 'hsv' ); toc
mean2(abs(J1-J2))
EXAMPLE - gray
I=imread('peppers.png');
tic, J1=rgb2gray( I ); toc
tic, J2=rgbConvert( I, 'gray' ); toc
J1=single(J1)/255; mean2(abs(J1-J2))
See also rgb2hsv, rgb2gray
Piotr's Computer Vision Matlab Toolbox Version 3.02
Copyright 2014 Piotr Dollar & Ron Appel. [pdollar-at-gmail.com]
Licensed under the Simplified BSD License [see external/bsd.txt]