decompose5 — 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.
No new storage is allocated for the output images.
Instead, the created images contain references to the existing
input image channels.
MultiChannelImage (input_object) multichannel-image(-array) → object (byte / direction / cyclic / int1 / int2 / uint2 / int4 / int8 / real / complex / vector_field)
Multi-channel image.
Image1 (output_object) singlechannelimage(-array) → object (byte / direction / cyclic / int1 / int2 / uint2 / int4 / int8 / real / complex / vector_field)
Output image 1.
Image2 (output_object) singlechannelimage(-array) → object (byte / direction / cyclic / int1 / int2 / uint2 / int4 / int8 / real / complex / vector_field)
Output image 2.
Image3 (output_object) singlechannelimage(-array) → object (byte / direction / cyclic / int1 / int2 / uint2 / int4 / int8 / real / complex / vector_field)
Output image 3.
Image4 (output_object) singlechannelimage(-array) → object (byte / direction / cyclic / int1 / int2 / uint2 / int4 / int8 / real / complex / vector_field)
Output image 4.
Image5 (output_object) singlechannelimage(-array) → object (byte / direction / cyclic / int1 / int2 / uint2 / int4 / int8 / real / complex / vector_field)
Output image 5.
access_channel,
image_to_channels
Foundation