EImageStitcher::Stitch
Stitch calibrated images together. Stitching happens iteratively from the reference image which defines the overall orientation of the final image. The reference image is automatically inferred after computing matching possibilities. If the images were taken in a grid fashion, the shape of the grid can be referenced by specifying its number of rows and columns. Doing so speeds up the matching process and can improve the result. Specifying a number of rows and columns of zero defaults to not using a grid when matching.
Namespace: Euresys::Open_eVision
[C++]
void Stitch(
const std::vector<EImageC24>& images,
EImageC24& output,
OEV_UINT32 rowCount,
OEV_UINT32 colCount
) const
void Stitch(
const std::vector<EImageC24>& images,
EImageC24& output,
OEV_UINT32 rowCount
) const
void Stitch(
const std::vector<EImageC24>& images,
EImageC24& output
) const
void Stitch(
const std::vector<EImageBW8>& images,
EImageBW8& output,
OEV_UINT32 rowCount,
OEV_UINT32 colCount
) const
void Stitch(
const std::vector<EImageBW8>& images,
EImageBW8& output,
OEV_UINT32 rowCount
) const
void Stitch(
const std::vector<EImageBW8>& images,
EImageBW8& output
) const
Parameters
images
Input images. Each image must belong to the same plan.
output
Output image. This image will be resized by this method and its content lost.
rowCount
Number of rows.
colCount
Number of columns.
EImageStitcher.Stitch
Stitch calibrated images together. Stitching happens iteratively from the reference image which defines the overall orientation of the final image. The reference image is automatically inferred after computing matching possibilities. If the images were taken in a grid fashion, the shape of the grid can be referenced by specifying its number of rows and columns. Doing so speeds up the matching process and can improve the result. Specifying a number of rows and columns of zero defaults to not using a grid when matching.
Namespace: Euresys.Open_eVision
[C#]
void Stitch(
EImageC24[] images,
EImageC24 output,
uint rowCount,
uint colCount
)
void Stitch(
EImageC24[] images,
EImageC24 output,
uint rowCount
)
void Stitch(
EImageC24[] images,
EImageC24 output
)
void Stitch(
EImageBW8[] images,
EImageBW8 output,
uint rowCount,
uint colCount
)
void Stitch(
EImageBW8[] images,
EImageBW8 output,
uint rowCount
)
Parameters
images
Input images. Each image must belong to the same plan.
output
Output image. This image will be resized by this method and its content lost.
rowCount
Number of rows.
colCount
Number of columns.
EImageStitcher.Stitch
Stitch calibrated images together. Stitching happens iteratively from the reference image which defines the overall orientation of the final image. The reference image is automatically inferred after computing matching possibilities. If the images were taken in a grid fashion, the shape of the grid can be referenced by specifying its number of rows and columns. Doing so speeds up the matching process and can improve the result. Specifying a number of rows and columns of zero defaults to not using a grid when matching.
Module: open_evision
[Python]
Stitch(
images: list[EImageC24]
output: EImageC24
rowCount: int
colCount: int
) -> None
Stitch(
images: list[EImageC24]
output: EImageC24
rowCount: int
) -> None
Stitch(
images: list[EImageC24]
output: EImageC24
) -> None
Stitch(
images: list[EImageBW8]
output: EImageBW8
rowCount: int
colCount: int
) -> None
Stitch(
images: list[EImageBW8]
output: EImageBW8
rowCount: int
) -> None
Parameters
images
Input images. Each image must belong to the same plan.
output
Output image. This image will be resized by this method and its content lost.
rowCount
Number of rows.
colCount
Number of columns.