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RGB Channels

Tool to separate red, green and blue in an image. The separation of the RGB channels (for the 3 colors Red, Green, Blue) is used to analyze the components of the primary colors of each part of an image.

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RGB Channels -

Tag(s) : Image Processing

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# RGB Channels

## Red/Green/Blue Channels Splitter

 Output channel As grayscale With their own color
 Background (in case of no value) Black White
 Channel to extract Red Channel (R) Green Channel (G) Blue Channel (B)
 Resolution 0.1 Megapixel (fast) 0.5 Megapixel (web) 1 Megapixel (quality)

### What are RGB channels in an image? (Definition)

RGB channels result from a decomposition of an image into components of primary colors. There are 3 primary colors: Red, Green and Blue, also called RGB colors.

### How to separate RGB values of an image?

The image will be analyzed and the result will be returned in gray level for each color, from black to white, from no color to pure color.

Example: Red

Example: Green

Example: Blue

The image will be resized if it is too large to accelerate calculations.

Thus, in an image encoded in RGB, the white color corresponds to the presence of the three colors simultaneously. The black color corresponds to an absence of three colors simultaneously.

### Why using RGB channels?

The red, green and blue elements are the best hues captured by the human eye.

### What is the relation between RGB and HTML color codes?

The HTML color codes consist of 3 hexadecimal numbers corresponding to the 3 RGB colors.

Example: #ff7f00 for ff,7f,00 is ff for red, 7f for green and 00 for blue

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RGB Channels on dCode.fr [online website], retrieved on 2023-09-30, https://www.dcode.fr/rgb-channels

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