compose5 — Convert 5 images into a five-channel image.
The operator compose5 converts 5 one-channel images into
a 5-channel image. The definition domain is calculated as the
intersection of the definition domains of the input images.
No new storage is allocated for the multi-channel image.
Instead, the created multi-channel image contains references to the existing
input images.
Image1 (input_object) singlechannelimage(-array) → object (byte / direction / cyclic / int1 / int2 / uint2 / int4 / int8 / real / complex / vector_field)
Input image 1.
Image2 (input_object) singlechannelimage(-array) → object (byte / direction / cyclic / int1 / int2 / uint2 / int4 / int8 / real / complex / vector_field)
Input image 2.
Image3 (input_object) singlechannelimage(-array) → object (byte / direction / cyclic / int1 / int2 / uint2 / int4 / int8 / real / complex / vector_field)
Input image 3.
Image4 (input_object) singlechannelimage(-array) → object (byte / direction / cyclic / int1 / int2 / uint2 / int4 / int8 / real / complex / vector_field)
Input image 4.
Image5 (input_object) singlechannelimage(-array) → object (byte / direction / cyclic / int1 / int2 / uint2 / int4 / int8 / real / complex / vector_field)
Input image 5.
MultiChannelImage (output_object) multichannel-image(-array) → object (byte / direction / cyclic / int1 / int2 / uint2 / int4 / int8 / real / complex / vector_field)
Multi-channel image.
Foundation