decompose5 (Operator)

Name

decompose5 — Convert a five-channel image into five images.

Synopsis

decompose5(MultiChannelImage : Image1, Image2, Image3, Image4, Image5 : : )

Description

The operator decompose5 converts a 5-channel image into five one-channel images with the same definition domain.

Parameters

MultiChannelImage (input_object)	multichannel-image(-array) → object (byte / direction / cyclic / int1 / int2 / uint2 / int4 / int8 / real / complex / vector_field)
Multichannel 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.

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

Foundation