使用opencv的摄像头预览图像是逆时针旋转90度的。
c++的方法多一点,我就想java也有直接的办法。参考API后看到这样一个方法,在Imgproc类下。
API说明:
getRotationMatrix2D
public static Mat getRotationMatrix2D(Point center,
double angle,
double scale)
Calculates an affine matrix of 2D rotation.
The function calculates the following matrix:
alpha beta(1- alpha) * center.x - beta * center.y - beta alpha beta * center.x + (1- alpha) * center.y
where
alpha = scale * cos angle, beta = scale * sin angle
The transformation maps the rotation center to itself. If this is not the target, adjust the shift.
Parameters:
center - Center of the rotation in the source image.
angle - Rotation angle in degrees. Positive values mean counter-clockwise rotation (the coordinate origin is assumed to be the top-left corner).
scale - Isotropic scale factor.
warpAffine
public static void warpAffine(Mat src,
Mat dst,
Mat M,
Size dsize)
Applies an affine transformation to an image.
The function warpAffine transforms the source image using the specified matrix:
dst(x,y) = src(M _11 x + M _12 y + M _13, M _21 x + M _22 y + M _23)
when the flag WARP_INVERSE_MAP is set. Otherwise, the transformation is first inverted with "invertAffineTransform" and then put in the formula above instead of M. The function cannot operate in-place.
Note: cvGetQuadrangleSubPix is similar to cvWarpAffine, but the outliers are extrapolated using replication border mode.
Parameters:
src - input image.
dst - output image that has the size dsize and the same type as src.
M - 2x 3 transformation matrix.
dsize - size of the output image.
我在预览里添加转换函数:@Override
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
// TODO Auto-generated method stub
Mat dst = new Mat();
Mat gray = inputFrame.gray();
Mat rotateMat = Imgproc.getRotationMatrix2D(new Point(gray.rows()/2,gray.cols()/2), 90, 1);
Imgproc.warpAffine(gray, dst, rotateMat, dst.size());
return dst;
}
图像顺时针旋转90度