rgb2hsv
Convert RGB colors to HSV
Description
Examples
Convert Colormap to HSV
Get a down-sampled version of the prism
colormap.
rgb = prism(6)
rgb = 6×3
1.0000 0 0
1.0000 0.5000 0
1.0000 1.0000 0
0 1.0000 0
0 0 1.0000
0.6667 0 1.0000
Convert the RGB values in the colormap to HSV.
hsv = rgb2hsv(rgb)
hsv = 6×3
0 1.0000 1.0000
0.0833 1.0000 1.0000
0.1667 1.0000 1.0000
0.3333 1.0000 1.0000
0.6667 1.0000 1.0000
0.7778 1.0000 1.0000
Convert Truecolor Image to HSV
Create a 2-by-2 truecolor image.
rgb(:,:,1) = [1 1; 0 .5]; rgb(:,:,2) = [0 1; 0 .5]; rgb(:,:,3) = [0 0; 1 .5]; image(rgb);
Convert the image to an HSV array.
hsv = rgb2hsv(rgb)
hsv = hsv(:,:,1) = 0 0.1667 0.6667 0 hsv(:,:,2) = 1 1 1 0 hsv(:,:,3) = 1.0000 1.0000 1.0000 0.5000
Input Arguments
RGB
— RGB image
m-by-n-by-3 numeric array
RGB image to convert, specified as an
m-by-n-by-3 numeric array. The
third dimension of RGB
defines the red, green, and blue
intensity of each pixel, respectively.
The rgb2hsv
function expects truecolor images of data
type double
and single
to have values
in the range [0, 1].
Data Types: single
| double
| uint8
| uint16
rgbmap
— RGB colormap
c-by-3 numeric matrix
RGB colormap, specified as a c-by-3 numeric matrix with
values in the range [0, 1]. Each row of rgbmap
is a
three-element RGB triplet that specifies the red, green, and blue components
of a single color of the colormap.
Data Types: double
Output Arguments
HSV
— HSV image
m-by-n-by-3 numeric array
HSV image, returned as an
m-by-n-by-3 numeric array with values
in the range [0, 1]. The third dimension of HSV
defines
the hue, saturation, and value for each pixel, respectively, as described in
the table.
Attribute | Description |
---|---|
Hue | Value from 0 to
1 that corresponds to the color’s
position on a color wheel. As hue increases from
0 to 1 , the
color transitions from red to orange, yellow, green,
cyan, blue, magenta, and finally back to red. |
Saturation | Amount of hue or departure from neutral.
0 indicates a neutral shade,
whereas 1 indicates maximum
saturation. |
Value | Maximum value among the red, green, and blue components of a specific color. |
The data type of HSV
depends on the data type of
RGB
:
If
RGB
is of data typesingle
, thenHSV
is of data typesingle
.Otherwise,
HSV
is of data typedouble
.
Data Types: double
| single
hsvmap
— HSV colormap
c-by-3 numeric matrix
HSV colormap, returned as a c-by-3 numeric matrix with
values in the range [0, 1]. Each row of hsvmap
is a
three-element HSV triplet that specifies the hue, saturation, and value
components of a single color of the colormap.
The data type of hsvmap
depends on the data type of
rgbmap
:
If
rgbmap
is of data typesingle
, thenhsvmap
is of data typesingle
.Otherwise,
hsvmap
is of data typedouble
.
Data Types: single
| double
References
[1] Smith, A. R. “Color Gamut Transform Pairs”. SIGGRAPH 78 Conference Proceedings. 1978, pp. 12–19.
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.
Thread-Based Environment
Run code in the background using MATLAB® backgroundPool
or accelerate code with Parallel Computing Toolbox™ ThreadPool
.
This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.
GPU Arrays
Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.
The rgb2hsv
function
fully supports GPU arrays. To run the function on a GPU, specify the input data as a gpuArray
(Parallel Computing Toolbox). For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).
Distributed Arrays
Partition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™.
This function fully supports distributed arrays. For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).
Version History
Introduced before R2006a
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