# im

##### Create a Pixel Image Object

Creates an object of
class `"im"`

representing a two-dimensional pixel image.

##### Usage

```
im(mat, xcol=seq_len(ncol(mat)), yrow=seq_len(nrow(mat)),
xrange=NULL, yrange=NULL,
unitname=NULL)
```

##### Arguments

- mat
- matrix or vector containing the pixel values of the image.
- xcol
- vector of $x$ coordinates for the pixel grid
- yrow
- vector of $y$ coordinates for the pixel grid
- xrange,yrange
- Optional. Vectors of length 2 giving the $x$ and $y$
limits of the enclosing rectangle.
(Ignored if
`xcol`

,`yrow`

are present.) - unitname
- Optional. Name of unit of length. Either a single character string, or a vector of two character strings giving the singular and plural forms, respectively.

##### Details

This function creates an object of class `"im"`

representing
a two-dimensional pixel image. See `im.object`

for details of this class.

The matrix `mat`

contains the `mat[i,j]`

gives the pixel value at the location `(xcol[j],yrow[i])`

.
That is, the **row** index of the matrix `mat`

corresponds
to increasing **y** coordinate, while the column index of `mat`

corresponds to increasing **x** coordinate.
Thus `yrow`

has one entry for each row of `mat`

and `xcol`

has one entry for each column of `mat`

.
Under the usual convention in R, a correct
display of the image would be obtained by transposing the matrix, e.g.
`image.default(xcol, yrow, t(mat))`

, if you wanted to do it by hand.

The entries of `mat`

may be numeric (real or integer), complex,
logical, character, or factor values.
If `mat`

is not a matrix, it will be converted into
a matrix with `nrow(mat) = length(yrow)`

and
`ncol(mat) = length(xcol)`

.
To make a factor-valued image, note that
Rhas a quirky way of handling matrices with
factor-valued entries. The command `matrix`

cannot be used
directly, because it destroys factor information.
To make a factor-valued image, do one of the following:

- Create a
`factor`

containing the pixel values, say`mat <- factor(.....)`

, and then assign matrix dimensions to it by`dim(mat) <- c(nr, nc)`

where`nr, nc`

are the numbers of rows and columns. The resulting object`mat`

is both a factor and a vector. - Supply
`mat`

as a one-dimensional factor and specify the arguments`xcol`

and`yrow`

to determine the dimensions of the image. - Use the functions
`cut.im`

or`eval.im`

to make factor-valued images from other images).

`im.object`

. To convert other kinds of data to a pixel image (for example,
functions or windows), use `as.im`

.

##### Warnings

The internal representation of images is likely to change in future
releases of `as.matrix.im`

or `[.im`

.

##### See Also

##### Examples

```
vec <- rnorm(1200)
mat <- matrix(vec, nrow=30, ncol=40)
whitenoise <- im(mat)
whitenoise <- im(mat, xrange=c(0,1), yrange=c(0,1))
whitenoise <- im(mat, xcol=seq(0,1,length=40), yrow=seq(0,1,length=30))
whitenoise <- im(vec, xcol=seq(0,1,length=40), yrow=seq(0,1,length=30))
plot(whitenoise)
# Factor-valued images:
f <- factor(letters[1:12])
dim(f) <- c(3,4)
Z <- im(f)
# Factor image from other image:
cutwhite <- cut(whitenoise, 3)
plot(cutwhite)
# Factor image from raw data
cutmat <- cut(mat, 3)
dim(cutmat) <- c(30,40)
cutwhite <- im(cutmat)
plot(cutwhite)
```

*Documentation reproduced from package spatstat, version 1.41-1, License: GPL (>= 2)*