remap: Geometrical Transformation to an Image
In swarm-lab/Rvision: Computer Vision Library for R

remap

R Documentation

Geometrical Transformation to an Image

Description

remap transforms the source image using the specified maps and interpolation methods.

Usage

remap(
  image,
  map1,
  map2,
  interpolation = "linear",
  border_type = "constant",
  border_color = "black",
  target = "new"
)

Arguments

`image`	An `Image` object.
`map1`, `map2`	`Image` objects representing a joint undistortion and rectification transformation as computed by `initUndistortRectifyMap`.
`interpolation`	A character string representing the type of interpolation to use during transformation (default: "linear"). See notes for all accepted interpolation methods. It can be any of the following: "nearest": nearest neighbor interpolation. "linear": bilinear interpolation. "cubic": bicubic interpolation. "Lanczos": Lanczos interpolation over 8x8 neighborhood.
`border_type`	A character string indicating the extrapolation method to use when filling empty pixels created during the transformation. It can be any of the following: "constant" (the default): `iiiiii\|abcdefgh\|iiiiii` with `i` specified by `border_value`. "replicate": `aaaaaa\|abcdefgh\|hhhhhh`. "reflect": `fedcba\|abcdefgh\|hgfedc`. "wrap": `cdefgh\|abcdefgh\|abcdef`. "reflect_101": `gfedcb\|abcdefgh\|gfedcb`. "transparent": `uvwxyz\|abcdefgh\|ijklmn`.
`border_color`	A value or vector of any kind of R color specification compatible with `col2bgr` representing the color of the border (default: "black").
`target`	The location where the results should be stored. It can take 3 values: "new": a new `Image` object is created and the results are stored inside (the default). An `Image` object: the results are stored in another existing `Image` object. This is fast but will replace the content of `target`. Note that `target` must have the same dimensions, bit depth and number of channels as `image` but that it cannot be `image` itself or an error will be thrown.