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Linear combination of images

`Z = imlincomb(K1,A1,K2,A2,...,Kn,An)`

Z = imlincomb(K1,A1,K2,A2,...,Kn,An,K)

Z = imlincomb(___,output_class)

gpuarrayZ = imlincomb(gpuarrayK,gpuarrayA,___,output_class)

`Z = imlincomb(K1,A1,K2,A2,...,Kn,An)`

computes

K1*A1 + K2*A2 + ... + Kn*An

where `K1`

, `K2`

, through `Kn`

are
real, double scalars and `A1`

, `A2`

,
through `An`

are real, nonsparse, numeric arrays
with the same class and size. `Z`

has the same class
and size as `A1`

unless `A1`

is
logical, in which case `Z`

is double.

`Z = imlincomb(K1,A1,K2,A2,...,Kn,An,K)`

computes

K1*A1 + K2*A2 + ... + Kn*An + K

where `imlincomb`

adds `K`

,
a real, double scalar, to the sum of the products of `K1`

through `Kn`

and `A1`

through `An`

.

`Z = imlincomb(___,output_class)`

lets
you specify the class of `Z`

. `output_class`

is
a character vector containing the name of a numeric class.

`gpuarrayZ = imlincomb(gpuarrayK,gpuarrayA,___,output_class)`

performs
the operation on a GPU, where the input values,`gpuarrayK`

and `gpuarrayA`

,
are gpuArrays and the output value, `gpuarrayZ`

is
a gpuArray. This syntax requires the Parallel
Computing Toolbox™

When performing a series of arithmetic operations on a pair
of images, you can achieve more accurate results if you use `imlincomb`

to
combine the operations, rather than nesting calls to the individual
arithmetic functions, such as `imadd`

. When you nest
calls to the arithmetic functions, and the input arrays are of an
integer class, each function truncates and rounds the result before
passing it to the next function, thus losing accuracy in the final
result. `imlincomb`

computes each element of the
output `Z`

individually, in double-precision floating
point. If `Z`

is an integer array, `imlincomb`

truncates
elements of `Z`

that exceed the range of the integer
type and rounds off fractional values.

`gpuArray`

| `imadd`

| `imcomplement`

| `imdivide`

| `immultiply`

| `imsubtract`

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