ISIS Application Documentation
rgb2hsv | Printer Friendly View | TOC | Home |
Convert RGB to HSV
Overview | Parameters | Example 1 |
Description
This program takes in three input images, representing Red, Green, and Blue, then outputs Hue, Saturation,
and Value files respectively. It works by creating an RGB pixel from pixels in the Red, Green, and Blue
files, converting it to HSV format, then writing the data to the Hue, Saturation, and Value files.
NOTE: The original input file dn range is compressed down to a value between 0.0 and 1.0 When it comes back out through hsv2rgb, it remains in the range of 0.0 to 1.0 We currently do not have the capability to return the dn values to their original value. HSV Stores colors in terms of hue, saturation, and value. The hue determines the color, which is an angle around the color wheel. The basic colors are: 0 degrees = RED, 60 degrees = YELLOW, 120 degrees = GREEN, 180 degrees = CYAN, 240 degrees = BLUE and 300 degrees = PURPLE. The saturation is how much grey is in the color (intensity of the color). A saturation value of zero means it's a perfect color, while a saturation value of 1 would cause any color to become pure grey. As an example, the color RGB(255,0,0) is pure so the saturation would be zero. The value is how bright the color is. A value of 0 is always black, and 100 is the color (if not saturated). In brief, HUE = COLOR (degrees around the color wheel) SATURATION = INTENSITY (0-1, 0 being no color/grey) VALUE = BRIGHTNESS (0 being black) For more information, see http://en.wikipedia.org/wiki/Color_spaces CategoriesRelated Objects and DocumentsApplicationsHistory
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Parameter GroupsInput Files
Output Files
Stretch
Auto settings
Manual settings
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This file will be converted from Red to Hue
Type | cube |
---|---|
File Mode | input |
Filter | *.cub |
This file will be converted from Green to Saturation
Type | cube |
---|---|
File Mode | input |
Filter | *.cub |
This file will be converted from Blue to Value
Type | cube |
---|---|
File Mode | input |
Filter | *.cub |
The resultant Hue cube
Type | cube |
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File Mode | output |
Pixel Type | real |
Filter | *.cub |
The resultant Saturation cube
Type | cube |
---|---|
File Mode | output |
Pixel Type | real |
Filter | *.cub |
The resultant Value cube
Type | cube |
---|---|
File Mode | output |
Pixel Type | real |
Filter | *.cub |
This determines which values will be used for minimum and maximum cut-off limits
Type | string | |||||||||
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Default | Automatic | |||||||||
Option List: |
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Minimum cut-off value for the histogram
Type | double |
---|---|
Default | 0.5 |
Minimum | 0.0 (inclusive) |
Less Than | RMAXPER |
Maximum cut-off value for the histogram
Type | double |
---|---|
Default | 99.5 |
Maximum | 100.0 (inclusive) |
Minimum cut-off value for the histogram
Type | double |
---|---|
Default | 0.5 |
Minimum | 0.0 (inclusive) |
Less Than | GMAXPER |
Maximum cut-off value for the histogram
Type | double |
---|---|
Default | 99.5 |
Maximum | 100.0 (inclusive) |
Minimum cut-off value for the histogram
Type | double |
---|---|
Default | 0.5 |
Minimum | 0.0 (inclusive) |
Less Than | BMAXPER |
Maximum cut-off value for the histogram
Type | double |
---|---|
Default | 99.5 |
Maximum | 100.0 (inclusive) |
Minimum cut-off pixel value
Type | double |
---|---|
Minimum | 0.0 (inclusive) |
Less Than | RMAX |
Maximum cut-off pixel value
Type | double |
---|---|
Maximum | 255.0 (inclusive) |
Minimum cut-off pixel value
Type | double |
---|---|
Minimum | 0.0 (inclusive) |
Less Than | GMAX |
Maximum cut-off pixel value
Type | double |
---|---|
Maximum | 255.0 (inclusive) |
Minimum cut-off pixel value
Type | double |
---|---|
Minimum | 0.0 (inclusive) |
Less Than | RMAX |
Maximum cut-off pixel value
Type | double |
---|---|
Maximum | 255.0 (inclusive) |
Example 1Convert RGB image to HSV Description
This example shows the results of converting RGB images to HSV format.
Command Line
rgb2hsv
red=../peaks.cub+5 green=../peaks.cub+4 blue=../peaks.cub+3 hue=../hue.cub saturation=../sat.cub value=../val.cub mode=automatic
Convert Red, Green, and Blue images into their respective Hue, Saturation, and Value images.
GUI Screenshot
Input Image
Output Images
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