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