Herror ::trans_from_rgb (
Hobject ImageRed,
Hobject ImageGreen,
Hobject ImageBlue,
Hobject *ImageResult1,
Hobject *ImageResult2,
Hobject *ImageResult3,
const HTuple &ColorSpace
)
HImage HImage::TransFromRgb (
const HImageArray &ImageGreen,
const HImageArray &ImageBlue,
HImage *ImageResult2,
HImage *ImageResult3,
const HTuple &ColorSpace
) const
HImageArray HImageArray::TransFromRgb (
const HImageArray &ImageGreen,
const HImageArray &ImageBlue,
HImageArray *ImageResult2,
HImageArray *ImageResult3,
const HTuple &ColorSpace
) const
Transform an image from the RGB color space to an arbitrary color space.
::trans_from_rgb transforms an image from the RGB color
space to an arbitrary color space (ColorSpace). The
three channels of the image are passed as three separate images on
input and output.
The following transformations are supported:
'yiq'
|Y| |0.299 0.587 0.144| |R|
|I| = |0.595 -0.276 -0.333| * |G|
|Q| |0.209 -0.522 0.287| |B|
'argyb'
|A | |0.30 0.59 0.11| |R|
|Rg| = |0.50 -0.50 0.00| * |G|
|Yb| |0.25 0.25 -0.50| |B|
'ciexyz'
|X| |0.476 0.299 0.175| |R|
|Y| = |0.262 0.656 0.082| * |G|
|Z| |0.020 0.161 0.909| |B|
'hls'
min = min(R,G,B)
max = max(R,G,B)
L = (min + max) / 2
if (max == min)
H = 0
S = 0
else
if (L > 0.5)
S = (max - min) / (2 - max - min)
else
S = (max - min) / (max + min)
fi
if (R == max)
H = ((G - B) / (max - min)) * 60
elif (G == max)
H = (2 + (B - R) / (max - min)) * 60
elif (B == max)
H = (4 + (R - G) / (max - min)) * 60
fi
fi
'hsi'
|M1| |2/Sqrt(6) -1/Sqrt(6) -1/Sqrt(6)| |R|
|M2| = |0 1/Sqrt(2) -1/Sqrt(2)| * |G|
|I1| |1/Sqrt(3) 1/Sqrt(3) 1/Sqrt(3)| |B|
H = ATan(M1/M2)
S = Sqrt(Sqr(M1) + Sqr(M2))
I = I1 * Sqrt(3)
'hsv'
min = min(R,G,B)
max = max(R,G,B)
V = max
if (max == min)
S = 0
H = 0
else
S = (max - min) / max
if (R == max)
H = ((G - B) / (max - min)) * 60
elif (G == max)
H = (2 + (B - R) / (max - min)) * 60
elif (B == max)
H = (4 + (R - G) / (max - min)) * 60
fi
fi
'ihs'
min = min(R,G,B)
max = max(R,G,B)
I = (R + G + B) / 3
if (I == 0)
H = 0
S = 1
else
S = 1 - min / I
if (S == 0)
H = 0
else
A = (R + R - G - B) / 2
B = (R - G) * (R - G) + (R - B) * (G - B)
C = sqrt(B)
if (C == 0)
H = 0
else
H = acos(A / C)
fi
if (B > G)
H = 2 * pi - H
fi
fi
fi
'isfeuklid'
min = min(R,G,B)
max = max(R,G,B)
I = sqrt(R * R + G * G + B * B) / sqrt(3)
if (I == 0)
S = 0
F = 0
else
S = acos(max(1, (R + G + B) / (I * 3))) / (pi / 2)
if (R == min)
F = acos(max(1, B / sqrt(G * G + B * B))) / (pi * 3 / 2) + 1 / 3
elif (G == min)
F = acos(max(1, R / sqrt(B * B + R * R))) / (pi * 3 / 2) + 2 / 3
else
F = acos(max(1, G / sqrt(R * R + G * G))) / (pi * 3 / 2)
fi
fi
'isfdiff'
if (R >= B && B >= G)
I = R
S = R - G
F = (R - B) / 6
elif (R >= G && G >= B)
I = R
S = R - B
F = (2 - (R - G)) / 6
elif (G >= R && R >= B)
I = G
S = G - B
F = (2 + (G - R)) / 6
elif (G >= B && B >= R)
I = G
S = G - R
F = (4 - (G - B)) / 6
elif (B >= G && G >= R)
I = B
S = B - R
F = (4 + (B - G)) / 6
else
I = B
S = B - G
F = (6 + (B - R)) / 6
fi
'cielab'
|X| |0.476 0.299 0.175| |R|
|Y| = |0.262 0.656 0.082| * |G|
|Z| |0.020 0.161 0.909| |B|
L = 116 * (Y ^ (1 / 3)) - 16
a = 500 * (((X / 0.95) ^ (1 / 3)) - (Y ^ (1 / 3)))
b = 200 * ((Y ^ (1 / 3)) - ((Z / 1.09) ^ (1 / 3)))
'i1i2i3'
|I1| | 0.333 0.333 0.333| |R|
|I2| = | 1.0 0.0 -1.0 | * |G|
|I3| |-0.5 1.0 -0.5 | |B|
'ciexyz2'
|X| |0.620 0.170 0.180| |R|
|Y| = |0.310 0.590 0.110| * |G|
|Z| |0.000 0.066 1.020| |B|
'ciexyz3'
|X| |0.618 0.177 0.205| |R|
|Y| = |0.299 0.587 0.114| * |G|
|Z| |0.000 0.056 0.944| |B|
If necessary, certain scalings are performed, e.g., for byte-images
[0..1] -> [0..255]. In the explanation above all input and output
values, including angles, are assumed to be in the range [0..1].
Parameters
ImageRed (input_object)
|
image(-array) -> Hobject: HImage(Array) ( byte / int1 / int2 / int4 / real / complex )
|
|
Input image (red channel). |
ImageGreen (input_object)
|
image(-array) -> Hobject: HImage(Array) ( byte / int1 / int2 / int4 / real / complex )
|
|
Input image (green channel). |
ImageBlue (input_object)
|
image(-array) -> Hobject: HImage(Array) ( byte / int1 / int2 / int4 / real / complex )
|
|
Input image (blue channel). |
ImageResult1 (output_object)
|
image(-array) -> Hobject * : HImage(Array) ( byte / int1 / int2 / int4 / real / complex )
|
|
Color-transformed output image (channel 1). |
ImageResult2 (output_object)
|
image(-array) -> Hobject * : HImage(Array) ( byte / int1 / int2 / int4 / real / complex )
|
|
Color-transformed output image (channel 1). |
ImageResult3 (output_object)
|
image(-array) -> Hobject * : HImage(Array) ( byte / int1 / int2 / int4 / real / complex )
|
|
Color-transformed output image (channel 1). |
ColorSpace (input_control)
|
string -> HTuple.char *
|
|
Color space of the output image. |
|
Default value: 'hsv' |
|
List of values: 'cielab', 'hsv', 'hsi', 'yiq', 'argyb', 'ciexyz', 'ciexyz2', 'ciexyz3', 'hls', 'ihs', 'isfeuklid', 'isfdiff', 'i1i2i3' |
Example
/* Tranformation from rgb to hsv and conversely */
read_image(Image,"patras") ;
disp_color(Image,WindowHandle) ;
decompose3(Image,&Rimage,&Gimage,&Bimage) ;
trans_from_rgb(Rimage,Gimage,Bimage,&Image1,&Image2,&Image3,"hsv") ;
trans_to_rgb(Image1,Image2,Image3,&ImageRed,&ImageGreen,&ImageBlue,"hsv") ;
compose3(ImageRed,ImageGreen,ImageBlue,&Multichannel) ;
disp_color(Multichannel,WindowHandle);
Result
::trans_from_rgb returns H_MSG_TRUE if all parameters are
correct. If the input is empty the behaviour can be set via
::set_system('no_object_result',<Result>). If
necessary, an exception handling is raised.
Possible Predecessors
::decompose3
Possible Successors
::compose3
Alternatives
::rgb1_to_gray,
::rgb3_to_gray
See also
::trans_to_rgb
Module
Image filters
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