S3 Group Generic methods for images
These are group generic methods for images of class "im"
, which
allows for usual mathematical functions and operators to be applied
directly to images. See Details for a list of implemented functions.
## S3 methods for group generics have prototypes: Math(x, ...) Ops(e1, e2) Complex(z) Summary(..., na.rm=FALSE, drop=TRUE)
x, z, e1, e2 |
objects of class |
... |
further arguments passed to methods. |
na.rm,drop |
Logical values specifying whether missing values
should be removed. This will happen if either
|
Below is a list of mathematical functions and operators which are
defined for images. Not all functions will make sense for all
types of images. For example, none of the functions in the "Math"
group
make sense for character-valued images. Note that the "Ops"
group methods are implemented using eval.im
, which tries
to harmonise images via harmonise.im
if they aren't
compatible to begin with.
Group "Math"
:
abs
, sign
, sqrt
,floor
, ceiling
, trunc
,round
, signif
exp
, log
, expm1
, log1p
,cos
, sin
, tan
,cospi
, sinpi
, tanpi
,acos
, asin
, atan
cosh
, sinh
, tanh
,acosh
, asinh
, atanh
lgamma
, gamma
, digamma
, trigamma
cumsum
, cumprod
, cummax
, cummin
Group "Ops"
:
"+"
, "-"
, "*"
, "/"
,
"^"
, "%%"
, "%/%"
"&"
, "|"
, "!"
"=="
, "!="
,
"<"
, "<="
, ">="
, ">"
Group "Summary"
:
all
, any
sum
, prod
min
, max
range
Group "Complex"
:
Arg
, Conj
, Im
, Mod
, Re
For the Summary
group, the generic has an argument
na.rm=FALSE
, but for pixel images it makes
sense to set na.rm=TRUE
so that pixels outside the domain of
the image are ignored. To enable this, we added the argument
drop
. Pixel values that are NA
are removed
if drop=TRUE
or if na.rm=TRUE
.
For the Ops
group, one of the arguments is permitted to be
a single atomic value instead of an image.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk and Kassel Hingee.
eval.im
for evaluating expressions involving images.
## Convert gradient values to angle of inclination: V <- atan(bei.extra$grad) * 180/pi ## Make logical image which is TRUE when heat equals 'Moderate': A <- (gorillas.extra$heat == "Moderate") ## Summary: any(A) ## Complex: Z <- exp(1 + V * 1i) Z Re(Z)
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