【OpenCv 学习ing】warpPerspective用法

文档说明：

Applies a perspective transformation to an image.

C++: void warpPerspective (InputArray src, OutputArray dst, InputArray M, Size dsize, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar& borderValue=Scalar() )

Python: cv2. warpPerspective (src, M, dsize [, dst [, flags [, borderMode [, borderValue ] ] ] ] ) → dst

C: void cvWarpPerspective (const CvArr* src, CvArr* dst, const CvMat* mapMatrix, int flags=CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS, CvScalar fillval=cvScalarAll(0) )

Python: cv. WarpPerspective (src, dst, mapMatrix, flags=CV_INNER_LINEAR+CV_WARP_FILL_OUTLIERS, fillval=(0, 0, 0, 0) ) → None

Parameters:

Parameters:	src – Source image. dst – Destination image that has the size `dsize` and the same type as `src` . M – $3\times 3$ transformation matrix. dsize – Size of the destination image. flags – Combination of interpolation methods (see `resize()` ) and the optional flag `WARP_INVERSE_MAP` that means that `M`is the inverse transformation ( $\texttt{dst}\rightarrow\texttt{src}$ ). borderMode – Pixel extrapolation method (see `borderInterpolate()` ). When `borderMode=BORDER_TRANSPARENT` , it means that the pixels in the destination image that corresponds to the “outliers” in the source image are not modified by the function. borderValue – Value used in case of a constant border. By default, it is 0.

src – Source image.
dst – Destination image that has the size dsize and the same type as src .
M – $3\times 3$ transformation matrix.
dsize – Size of the destination image.
flags – Combination of interpolation methods (see resize() ) and the optional flag WARP_INVERSE_MAP that means that Mis the inverse transformation ( $\texttt{dst}\rightarrow\texttt{src}$ ).
borderMode – Pixel extrapolation method (see borderInterpolate() ). When borderMode=BORDER_TRANSPARENT , it means that the pixels in the destination image that corresponds to the “outliers” in the source image are not modified by the function.
borderValue – Value used in case of a constant border. By default, it is 0.

The function warpPerspective transforms the source image using the specified matrix:

$\texttt{dst} (x,y) = \texttt{src} \left ( \frac{M_{11} x + M_{12} y + M_{13}}{M_{31} x + M_{32} y + M_{33}} , \frac{M_{21} x + M_{22} y + M_{23}}{M_{31} x + M_{32} y + M_{33}} \right )$

when the flag WARP_INVERSE_MAP is set. Otherwise, the transformation is first inverted with invert() and then put in the formula above instead of M . The function cannot operate in-place.

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功能：对图像进行透视变换。

参数：

src 输入图像

dst 目标图像

map_matrix 3*3变换矩阵

flags CV_INTER_LINEAR 填充所有目标图像的像素，如果部分图像落在边界外，那么它们的值将被设定为fillval

CV_WARP_FILL_OUTLIERS 指定map_matrix是目标图像的输入图像的反变换

fillval 用于填充边界之外的像素的值

【OpenCv 学习ing】warpPerspective用法

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