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| //M*/ | |
| namespace opencv_test { namespace { | |
| TEST(MultiBandBlender, CanBlendTwoImages) | |
| { | |
| Mat image1 = imread(string(cvtest::TS::ptr()->get_data_path()) + "cv/shared/baboon.png"); | |
| Mat image2 = imread(string(cvtest::TS::ptr()->get_data_path()) + "cv/shared/lena.png"); | |
| 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 psnr = cvtest::PSNR(expected, result); | |
| EXPECT_GE(psnr, 50); | |
| } | |
| }} // namespace | |