TypeFromScalars

MLModule

genre	NonScalar
author	MeVis Medical Solutions AG
package	MeVisLab/Standard
dll	MLTypeSupport
definition	MLTypeSupport.def
see also	InterleaveDimension, TypeToScalars, TypeFromDimension, Info, TypeComposer, TypeDecomposer, TypeDecomposerN, TypeComposerN
keywords	decompose, separate, merge, bind, join, mix, connect, link, tie, pack, extended, carrier, datatype, voxel, complex, vector, matrix, components

Purpose

The module TypeFromScalars converts input voxels of scalar data type to an output image of scalar or vector data type.

This is done component-wise; that means each component of each voxel of the output image is composed of a number of voxels of the input image. Hence, the x-extent of the output image is the n ^th fraction of the extent of the input image if the voxels of the output image have n components.

Usage

It requires another conversion step with InterleaveDimension to get the data correctly formatted in the x-dimension.

Tips

While composing the output image, the voxel components are implicitly cast to double or integer values; this might lead to a precision loss on long double or int64 values on some platforms.

Windows

Default Panel

Input Fields

input0

name: input0, type: Image

The input image must consist of scalar voxels. For non-scalar voxels, the output image is invalidated.

Output Fields

output0

name: output0, type: Image

The output image with an x-extent n times smaller than the input image where n is given by the number of components of the output voxels.

Parameter Fields

Visible Fields

Output Type

name: outputType, type: Enum, default: double

Sets the output data type.

Values:

Title	Name
​int8	​int8
​unsigned int8	​unsigned int8
​int16	​int16
​unsigned int16	​unsigned int16
​int32	​int32
​unsigned int32	​unsigned int32
​float	​float
​double	​double
​int64	​int64
​unsigned int64	​unsigned int64
​complexf	​complexf
​complexd	​complexd
​quaternionf	​quaternionf
​quaterniond	​quaterniond
​vec2	​vec2
​vec3	​vec3
​vec4	​vec4
​vec5	​vec5
​vec6	​vec6
​vec7	​vec7
​vec8	​vec8
​vec9	​vec9
​vec10	​vec10
​vec16	​vec16
​vec32	​vec32
​vec64	​vec64
​Vector2i8	​Vector2i8
​Vector2i16	​Vector2i16
​Vector2i32	​Vector2i32
​Vector2i64	​Vector2i64
​Vector3i8	​Vector3i8
​Vector3i16	​Vector3i16
​Vector3i32	​Vector3i32
​Vector3i64	​Vector3i64
​Vector4i8	​Vector4i8
​Vector4i16	​Vector4i16
​Vector4i32	​Vector4i32
​Vector4i64	​Vector4i64
​Vector5i8	​Vector5i8
​Vector5i16	​Vector5i16
​Vector5i32	​Vector5i32
​Vector5i64	​Vector5i64
​Vector6i8	​Vector6i8
​Vector6i16	​Vector6i16
​Vector6i32	​Vector6i32
​Vector6i64	​Vector6i64
​Vector7i8	​Vector7i8
​Vector7i16	​Vector7i16
​Vector7i32	​Vector7i32
​Vector7i64	​Vector7i64
​Vector8i8	​Vector8i8
​Vector8i16	​Vector8i16
​Vector8i32	​Vector8i32
​Vector8i64	​Vector8i64
​Vector9i8	​Vector9i8
​Vector9i16	​Vector9i16
​Vector9i32	​Vector9i32
​Vector9i64	​Vector9i64
​Vector10i8	​Vector10i8
​Vector10i16	​Vector10i16
​Vector10i32	​Vector10i32
​Vector10i64	​Vector10i64
​Vector16i8	​Vector16i8
​Vector16i16	​Vector16i16
​Vector16i32	​Vector16i32
​Vector16i64	​Vector16i64
​Vector32i8	​Vector32i8
​Vector32i16	​Vector32i16
​Vector32i32	​Vector32i32
​Vector32i64	​Vector32i64
​Vector64i8	​Vector64i8
​Vector64i16	​Vector64i16
​Vector64i32	​Vector64i32
​Vector64i64	​Vector64i64
​mat2	​mat2
​mat3	​mat3
​mat4	​mat4
​mat5	​mat5
​mat6	​mat6
​matf2	​matf2
​matf3	​matf3
​matf4	​matf4
​matf5	​matf5
​matf6	​matf6
​vecf2	​vecf2
​vecf3	​vecf3
​vecf4	​vecf4
​vecf5	​vecf5
​vecf6	​vecf6
​vecf7	​vecf7
​vecf8	​vecf8
​vecf9	​vecf9
​vecf10	​vecf10
​vecf16	​vecf16
​vecf32	​vecf32
​vecf64	​vecf64