本文整理汇总了C++中Mat::ATU方法的典型用法代码示例。如果您正苦于以下问题：C++ Mat::ATU方法的具体用法？C++ Mat::ATU怎么用？C++ Mat::ATU使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Mat的用法示例。
在下文中一共展示了Mat::ATU方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: getLaplacian
// Calculate b
// using convolution.
Mat PoissonBlending::getB1(Mat &src, Mat &dst, Mat &roiMask,vector<Point>&Points,Point loc, Rect ROI)
{
Mat lapMat;
int mh = roiMask.rows;
int mw = roiMask.cols;
filter2D(src, lapMat, -1, getLaplacian());
Mat B = Mat::zeros(Points.size(), 1, CV_32FC1);
for (int i = 0; i < Points.size(); i++)
{
Point pt = Points[i];
double tmp = 0.0;
tmp = lapMat.ATF(ROI.y + pt.y, ROI.x + pt.x);
if (pt.y>0 && roiMask.ATU(pt.y - 1, pt.x) != 255)
tmp -= dst.ATF(pt.y + loc.y - 1, pt.x + loc.x);
if (pt.y+1 <mh && roiMask.ATU(pt.y + 1, pt.x) != 255)
tmp -= dst.ATF(pt.y + loc.y + 1, pt.x + loc.x);
if (pt.x + 1<mw && roiMask.ATU(pt.y, pt.x + 1) != 255)
tmp -= dst.ATF(pt.y + loc.y, pt.x + loc.x + 1);
if (pt.x>0 && roiMask.ATU(pt.y , pt.x-1) != 255)
tmp -= dst.ATF(pt.y + loc.y, pt.x + loc.x - 1);
B.ATF(i, 0) = tmp;
}
return B;
}示例2: getGradient
// Calculate b
// using Gradients Mixing.
Mat PoissonBlending::getB3(Mat &src, Mat &dst, Mat &roiMask, vector<Point>&Points, Point loc, Rect ROI)
{
Mat gradMat = getGradient(src) + getGradient(dst);
int mh = roiMask.rows;
int mw = roiMask.cols;
Mat B = Mat::zeros(Points.size(), 1, CV_32FC1);
for (int i = 0; i < Points.size(); i++)
{
Point pt = Points[i];
double tmp = 0.0;
tmp = gradMat.ATF(ROI.y + pt.y, ROI.x + pt.x);
if (pt.y>0 && roiMask.ATU(pt.y - 1, pt.x) != 255)
tmp -= dst.ATF(pt.y + loc.y - 1, pt.x + loc.x);
if (pt.y + 1<mh && roiMask.ATU(pt.y + 1, pt.x) != 255)
tmp -= dst.ATF(pt.y + loc.y + 1, pt.x + loc.x);
if (pt.x + 1<mw && roiMask.ATU(pt.y, pt.x + 1) != 255)
tmp -= dst.ATF(pt.y + loc.y, pt.x + loc.x + 1);
if (pt.x>0 && roiMask.ATU(pt.y, pt.x - 1) != 255)
tmp -= dst.ATF(pt.y + loc.y, pt.x + loc.x - 1);
B.ATF(i, 0) = tmp;
}
return B;
}示例3: poisson_blending
// img1: 3-channel image, we wanna move something in it into img2.
// img2: 3-channel image, dst image.
// ROI: the position and size of the block we want to move in img1.
// posX, posY: where we want to move the block to in img2
void PoissonBlending::poisson_blending(Mat &src, Mat &dst, Mat &result, Mat &roiMask, Rect roi, Point loc)
{
cout << "Poisson Blender" << endl;
src.convertTo(src, CV_32FC3);
src /= 255;
dst.convertTo(dst, CV_32FC3);
dst /= 255;
vector<Point> Points;
#pragma omp parallel for
for (int i = 0; i < roi.height; i++)
{
#pragma omp parallel for
for (int j = 0; j < roi.width; j++)
{
int z=roiMask.ATU(i, j);
if (roiMask.ATU(i, j) == 255)
{
#pragma omp critical(ppb)
{
Points.push_back(Point(j, i));
}
}
}
}
cout << "Total Points: " << Points.size()<< endl;
cout << "Calculating Matrix A" << endl;
Mat A = getA(roiMask, Points);
// we must do the poisson blending to each channel.
vector<Mat> src_rgb;
split(src, src_rgb);
vector<Mat> dst_rgb;
split(dst, dst_rgb);
vector<Mat> res_v;
res_v.resize(3);
cout << "Calculating B" << endl;
// process 3 channels
#pragma omp parallel for schedule(dynamic, 1)
for (int i = 0; i < 3; i++)
{
#pragma omp critical(cout)
cout << " " << i + 1 << "/3 channel processing..." << endl;
Mat res, b;
b = getB2(src_rgb[i], dst_rgb[i], roiMask, Points, loc, roi);
//b = getB1(src_rgb[i], dst_rgb[i], roiMask, Points, loc, roi);
#pragma omp critical(cout)
res = getResult(A, b);
#pragma omp critical(res_v)
res_v[i]=res;
#pragma omp critical(cout)
cout << " "<< i + 1 << "/3 channel finished!!!" << endl;
}
Mat res_m;
// merge the 3 gray images into a 3-channel image
cout << "Merging result" << endl;
merge(res_v, res_m);
dst.copyTo(result);
#pragma omp parallel for
for (int i = 0; i < res_m.rows; i++)
{
Point p = Points[i]+Point(roi.x,roi.y);
result.at<Vec3f>(p) = res_m.at<Vec3f>(i, 0);
}
}