compose7 ( Image1, Image2, Image3, Image4, Image5, Image6, Image7 : MultiChannelImage : : )

Convert 7 images into a seven-channel image.

The operator compose7 converts 7 one-channel images into a 7-channel image. The definition domain is calculated as the intersection of the definition domains of the input images.


Parameters

Image1 (input_object)
singlechannelimage(-array) -> object : byte / direction / cyclic / int1 / int2 / uint2 / int4 / real / complex / vector_field
Input image 1.

Image2 (input_object)
singlechannelimage(-array) -> object : byte / direction / cyclic / int1 / int2 / uint2 / int4 / real / complex / vector_field
Input image 2.

Image3 (input_object)
singlechannelimage(-array) -> object : byte / direction / cyclic / int1 / int2 / uint2 / int4 / real / complex / vector_field
Input image 3.

Image4 (input_object)
singlechannelimage(-array) -> object : byte / direction / cyclic / int1 / int2 / uint2 / int4 / real / complex / vector_field
Input image 4.

Image5 (input_object)
singlechannelimage(-array) -> object : byte / direction / cyclic / int1 / int2 / uint2 / int4 / real / complex / vector_field
Input image 5.

Image6 (input_object)
singlechannelimage(-array) -> object : byte / direction / cyclic / int1 / int2 / uint2 / int4 / real / complex / vector_field
Input image 6.

Image7 (input_object)
singlechannelimage(-array) -> object : byte / direction / cyclic / int1 / int2 / uint2 / int4 / real / complex / vector_field
Input image 7.

MultiChannelImage (output_object)
multichannel-image(-array) -> object : byte / direction / cyclic / int1 / int2 / uint2 / int4 / real / complex / vector_field
Multichannel image.


Parallelization Information

compose7 is reentrant and automatically parallelized (on tuple level).


Possible Successors

disp_image


Alternatives

append_channel


See also

decompose7


Module

Foundation


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