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