Open Source Computer Vision Library https://opencv.org/
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#include "test_precomp.hpp"
using namespace cv;
using namespace std;
TEST(MultiBandBlender, CanBlendTwoImages)
{
Mat image1 = imread(string(cvtest::TS::ptr()->get_data_path()) + "cv/shared/baboon.jpg");
Mat image2 = imread(string(cvtest::TS::ptr()->get_data_path()) + "cv/shared/lena.jpg");
ASSERT_EQ(image1.rows, image2.rows); ASSERT_EQ(image1.cols, image2.cols);
Mat image1s, image2s;
image1.convertTo(image1s, CV_16S);
image2.convertTo(image2s, CV_16S);
Mat mask1(image1s.size(), CV_8U);
mask1(Rect(0, 0, mask1.cols/2, mask1.rows)).setTo(255);
mask1(Rect(mask1.cols/2, 0, mask1.cols - mask1.cols/2, mask1.rows)).setTo(0);
Mat mask2(image2s.size(), CV_8U);
mask2(Rect(0, 0, mask2.cols/2, mask2.rows)).setTo(0);
mask2(Rect(mask2.cols/2, 0, mask2.cols - mask2.cols/2, mask2.rows)).setTo(255);
detail::MultiBandBlender blender(false, 5);
blender.prepare(Rect(0, 0, max(image1s.cols, image2s.cols), max(image1s.rows, image2s.rows)));
blender.feed(image1s, mask1, Point(0,0));
blender.feed(image2s, mask2, Point(0,0));
Mat result_s, result_mask;
blender.blend(result_s, result_mask);
Mat result; result_s.convertTo(result, CV_8U);
Mat expected = imread(string(cvtest::TS::ptr()->get_data_path()) + "stitching/baboon_lena.png");
double rmsErr = norm(expected, result, NORM_L2) / sqrt(double(expected.size().area()));
ASSERT_LT(rmsErr, 1e-3);
}