decompose5 ( MultiChannelImage : Image1, Image2, Image3, Image4, Image5 : : )
Convert a five-channel image into five images.
The operator decompose5 converts a 5-channel image into
five one-channel images with the same definition domain.
Parameters
MultiChannelImage (input_object)
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multichannel-image(-array) -> object : byte / direction / cyclic / int1 / int2 / uint2 / int4 / real / complex / dvf
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Multichannel image. |
Image1 (output_object)
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singlechannelimage(-array) -> object : byte / direction / cyclic / int1 / int2 / uint2 / int4 / real / complex / dvf
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Output image 1. |
Image2 (output_object)
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singlechannelimage(-array) -> object : byte / direction / cyclic / int1 / int2 / uint2 / int4 / real / complex / dvf
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Output image 2. |
Image3 (output_object)
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singlechannelimage(-array) -> object : byte / direction / cyclic / int1 / int2 / uint2 / int4 / real / complex / dvf
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Output image 3. |
Image4 (output_object)
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singlechannelimage(-array) -> object : byte / direction / cyclic / int1 / int2 / uint2 / int4 / real / complex / dvf
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Output image 4. |
Image5 (output_object)
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singlechannelimage(-array) -> object : byte / direction / cyclic / int1 / int2 / uint2 / int4 / real / complex / dvf
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Output image 5. |
Parallelization Information
decompose5 is reentrant and automatically parallelized (on tuple level).
Possible Predecessors
count_channels
Possible Successors
disp_image
Alternatives
access_channel,
image_to_channels
See also
compose5
Module
Image / region / XLD management
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