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Image Conversions

Icon Name Description / Applications Modules
AddChannels

Creates a monochromatic image by summing the values of the input image channels.

FoundationLite
AddChannels_Saturation

Creates a monochromatic image by summing the values of the input image channels with saturation.

FoundationLite
AppendImageChannel

Appends a single valued channel to the input image.

FoundationLite
AverageChannels

Creates a monochromatic image by averaging the input image channels.

FoundationLite
AverageChannels_121

Creates a monochromatic image by averaging the input image channels.


Conversion to mono which is more consistent with human perception (our eyes are more sensitive to green).

FoundationLite
AverageChannels_251

Creates a monochromatic image by averaging the input image channels.


Conversion to mono which is more consistent with human perception (our eyes are more sensitive to green).

FoundationLite
AverageChannels_Weighted

Creates a monochromatic image from weighted averages of the input image channels.

FoundationLite
ConvertPixelType

Changes the type of pixel components.

FoundationLite
ConvertToMultichannel

Creates a multichannel image from a monochromatic one by replicating its channel.

FoundationLite
MaxChannels

Creates a monochromatic image by taking the maximum value of all the input image channels.

FoundationPro
MergeChannels

Creates a multichannel image from several monochromatic ones.

FoundationLite
MinChannels

Creates a monochromatic image by taking the minimum value of all the input image channels.

FoundationPro
MixChannels

Calculates a linear combination of image channels.

FoundationLite
ReverseChannels

Reverses the order of channels in an image.


E.g. when one has an RGB image, but needs to convert to BGR.

FoundationLite
SelectChannel

Creates an image from a single channel of the input image.

FoundationLite
SplitChannels

Creates several monochromatic images from individual channels of the input image.

FoundationLite
SplitChannels_OrNil

Creates several monochromatic images from individual channels of the input image and sets Nil for channels that are not present.

FoundationLite