| MATLAB File Help: cv.remap | Index |
Applies a generic geometrical transformation to an image
dst = cv.remap(src, map1, map2)
dst = cv.remap(src, map1)
dst = cv.remap(..., 'OptionName',optionValue, ...)
int16 (2-channels), single
(1-channels), or single (2-channels). See cv.convertMaps for details
on converting a floating-point representation to fixed-point for speed.uint16 (1-channel) or single (1-channel), or none (empty map if
map1 is (x,y) points), respectively.In other words, the following map combinations are valid:
map1 as NxMx1 single matrix,
and map2 as NxMx1 single matrixmap1 as NxMx2 single array,
and unspecified/empty map2. This is equivalent to map1=cat(3,map1,map2)
from the separate floating-point representation.map1 as NxMx2 int16 array, and map2
as NxMx1 uint16 matrix, converted from the floating-point
representation using cv.convertMaps.map1 and
the same type as src.iiiiii|abcdefgh|iiiiiii with some specified iaaaaaa|abcdefgh|hhhhhhhfedcba|abcdefgh|hgfedcbgfedcb|abcdefgh|gfedcbacdefgh|abcdefgh|abcdefguvwxyz|absdefgh|ijklmnomap1 and the type of src, otherwise it is
ignored and recreated by the function. This option is only useful when
BorderType=Transparent, in which case the transformed image is drawn
onto the existing Dst without extrapolating pixels. Not set by
default.The function cv.remap transforms the source image using the specified map:
dst(x,y) = src(mapX(x,y), mapY(x,y))
where values of pixels with non-integer coordinates are computed using one
of available interpolation methods. mapX and mapY can be encoded as
separate floating-point maps in map1 and map2 respectively, or
interleaved floating-point maps of (x,y) in map1, or fixed-point maps
created by using cv.convertMaps. The reason you might want to convert from
floating to fixed-point representations of a map is that they can yield much
faster (2x) remapping operations. In the converted case, map1 contains
pairs (floor(x), floor(y)) and map2 contains indices in a table of
interpolation coefficients.