Color to mask

{width="200px"}

In: Filters > Adjustments

Description

Extracts a greyscale mask from selected colors in a color image.

Inputs

Outputs

Parameters

Examples

The Equalize process involves comparing colors to determine the distance between them. Certain color spaces and distance algorithms are better suited for specific use cases.   This drop-down list lets you select the color space used to compare the colors:

• RGB (Data): Color is split into Red, Green, Blue channels and distributed straight along those axis, disregarding human perception. This is appropriate for images holding raw data.
• Linear sRGB (Color): Color is split into Red, Green, Blue channels and distributed in a linear relationship to the pixel light intensity. This is appropriate for image which may be visualised on displays.
• Luminance (Color): Color is split into Hue, Chroma, Luminance values where only the Luminance value is used in the comparaison. This is appropriate for image which may be visualised on displays.
• Lab (Color): A standardized perceptual color space, which distributes colors in such a way that colors that ‘feel’ close are actually close in the cube. This is appropriate for image which may be visualised on displays.
• Angle (Normal): Color is split into the X, Y, Z axes of a vector and compared through a dot product. This is appropriate for images holding Tangent Space Normals.