You are here : matlabImage Processingtformarray

tformarray() - Image Processing

B = tformarray(A, T, R, TDIMS_A, TDIMS_B,
TSIZE_B, TMAP_B, F) applies a spatial transformation to
array A to produce array B.
The tformarray function is like imtransform,
but is intended for problems involving higher-dimensioned arrays or
mixed input/output dimensionality, or requiring greater user control
or customization. (Anything that can be accomplished with imtransform can
be accomplished with a combination of maketform, makeresampler, findbounds,
and tformarray; but for many tasks involving 2-D
images, imtransform is simpler.)This table provides a brief description of all the input arguments.
See the following section for more detail about each argument. (Click
an argument in the table to move to the appropriate section.)ArgumentDescription
AInput array or image
TSpatial transformation structure, called a TFORM,
typically created with maketform
RResampler structure, typically created with makeresampler
TDIMS_ARow vector listing the input transform dimensions
TDIMS_BRow vector listing the output transform dimensions
TSIZE_BOutput array size in the transform dimensions
TMAP_BArray of point locations in output space; can be used
as an alternative way to specify a spatial transformation
FArray of fill values
A can be any nonsparse numeric
array, and can be real or complex.T is a TFORM structure
that defines a particular spatial transformation. For each location
in the output transform subscript space (as defined by TDIMS_B and TSIZE_B), tformarray uses T and
the function tforminv to compute the corresponding
location in the input transform subscript space (as defined by TDIMS_A and size(A)).If T is empty, tformarray operates
as a direct resampling function, applying the resampler defined in
R to compute values at each transform space location defined in TMAP_B (if TMAP_B is
nonempty), or at each location in the output transform subscript grid.R is a structure that defines
how to interpolate values of the input array at specified locations. R is
usually created with makeresampler, which allows
fine control over how to interpolate along each dimension, as well
as what input array values to use when interpolating close to the
edge of the array.TDIMS_A and TDIMS_B indicate
which dimensions of the input and output arrays are involved in the
spatial transformation. Each element must be unique, and must be a
positive integer. The entries need not be listed in increasing order,
but the order matters. It specifies the precise correspondence between
dimensions of arrays A and B and
the input and output spaces of the transformer T. length(TDIMS_A) must
equal T.ndims_in, and length(TDIMS_B) must
equal T.ndims_out. For example, if T is a 2-D transformation, TDIMS_A
= [2 1], and TDIMS_B = [1 2], then the
column dimension and row dimension of A correspond to the first and
second transformation input-space dimensions, respectively. The row
and column dimensions of B correspond to the first
and second output-space dimensions, respectively.TSIZE_B specifies the size of
the array B along the output-space transform dimensions.
Note that the size of B along nontransform dimensions
is taken directly from the size of A along those dimensions. If, for
example, T is a 2-D transformation, size(A) = [480 640 3
10], TDIMS_B is [2 1],
and TSIZE_B is [300 200], then size(B) is [200
300 3].TMAP_B is an optional array
that provides an alternative way of specifying the correspondence
between the position of elements of B and the location
in output transform space. TMAP_B can be used,
for example, to compute the result of an image warp at a set of arbitrary
locations in output space. If TMAP_B is not empty,
then the size of TMAP_B takes the form [D1 D2 D3 ... DN L]where N equals length(TDIMS_B).
The vector [D1 D2 ... DN] is used in place of TSIZE_B.
If TMAP_B is not empty, then TSIZE_B should
be [].The value of L depends on whether or not T is
empty. If T is not empty, then L is T.ndims_out,
and each L-dimension point in TMAP_B is transformed
to an input-space location using T. If T is
empty, then L is length(TDIMS_A),
and each L-dimensional point in TMAP_B is
used directly as a location in input space.F is a double-precision array
containing fill values. The fill values in F can
be used in three situations:When a separable resampler is created with makeresampler and
its padmethod is set to either 'fill' or 'bound'.When a custom resampler is used that supports the 'fill' or 'bound' pad
methods (with behavior that is specific to the customization).When the map from the transform dimensions of B to
the transform dimensions of A is deliberately undefined
for some points. Such points are encoded in the input transform space
by NaNs in either TMAP_B or
in the output of TFORMINV.In the first two cases, fill values are used to compute values
for output locations that map outside or near the edges of the input
array. Fill values are copied into B when output
locations map well outside the input array. See makeresampler for more information about 'fill' and 'bound'. F can be a scalar (including NaN),
in which case its value is replicated across all the nontransform
dimensions. F can also be a nonscalar, whose size
depends on size(A) in the nontransform dimensions.
Specifically, if K is the Jth
nontransform dimension of A, then size(F,J) must
be either size(A,K) or 1. As
a convenience to the user, tformarray replicates F across
any dimensions with unit size such that after the replication size(F,J) equals size(A,K).For example, suppose A represents 10 RGB
images and has size 200-by-200-by-3-by-10, T is
a 2-D transformation, and TDIMS_A and TDIMS_B are
both [1 2]. In other words, tformarray will apply
the same 2-D transform to each color plane of each of the 10 RGB images.
In this situation you have several options for F:F can be a scalar, in which case
the same fill value is used for each color plane of all 10 images.F can be a 3-by-1 vector, [R G
B]'. Then R, G, and B are used as the fill values
for the corresponding color planes of each of the 10 images. This
can be interpreted as specifying an RGB fill color, with the same
color used for all 10 images.F can be a 1-by-10 vector. This
can be interpreted as specifying a different fill value for each of
10 images, with that fill value being used for all three color planes.F can be a 3-by-10 matrix, which
can be interpreted as supplying a different RGB fill color for each
of the 10 images.


B = tformarray(A, T, R, TDIMS_A, TDIMS_B,


[D1 D2 D3 ... DN L]

Output / Return Value


Alternatives / See Also