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modules/intensity_transform/test/test_intensity_transform.cpp
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "test_precomp.hpp"
using namespace cv;
namespace opencv_test { namespace {
TEST(intensity_transform_logTransform, accuracy)
{
uchar image_data[] = {
51, 211, 212, 38, 48, 25, 189, 16, 64, 197,
104, 137, 60, 10, 78, 234, 186, 149, 37, 236,
128, 80, 6, 53, 7, 65, 233, 15, 216, 42,
108, 132, 136, 194, 117, 128, 214, 46, 220, 119,
101, 126, 148, 22, 86, 206, 91, 125, 234, 24,
162, 136, 46, 247, 245, 81, 157, 126, 73, 173,
120, 230, 117, 111, 145, 168, 169, 187, 23, 109,
0, 184, 23, 43, 108, 201, 13, 170, 249, 228,
107, 59, 73, 254, 116, 156, 209, 155, 149, 95,
24, 245, 136, 107, 192, 114, 69, 80, 199, 8
};
Mat_<uchar> image(10, 10, image_data);
Mat res;
cv::intensity_transform::logTransform(image, res);
uchar expectedRes_data[] = {
182, 247, 247, 169, 179, 150, 241, 130, 192, 243,
214, 227, 189, 110, 201, 251, 241, 231, 167, 252,
224, 202, 90, 184, 96, 193, 251, 128, 248, 173,
216, 225, 226, 243, 220, 224, 247, 177, 248, 220,
213, 223, 230, 144, 206, 245, 208, 223, 251, 148,
234, 226, 177, 254, 253, 203, 233, 223, 198, 237,
221, 250, 220, 217, 229, 236, 236, 241, 146, 216,
0, 240, 146, 174, 216, 244, 121, 237, 254, 250,
215, 188, 198, 255, 219, 233, 246, 232, 231, 210,
148, 253, 226, 215, 242, 218, 196, 202, 244, 101
};
Mat_<uchar> expectedRes(10, 10, expectedRes_data);
EXPECT_LE(cvtest::norm(res, expectedRes, NORM_INF), 1);
}
TEST(intensity_transform_gammaCorrection, accuracy1)
{
uchar image_data[] = {
51, 211, 212, 38, 48, 25, 189, 16, 64, 197,
104, 137, 60, 10, 78, 234, 186, 149, 37, 236,
128, 80, 6, 53, 7, 65, 233, 15, 216, 42,
108, 132, 136, 194, 117, 128, 214, 46, 220, 119,
101, 126, 148, 22, 86, 206, 91, 125, 234, 24,
162, 136, 46, 247, 245, 81, 157, 126, 73, 173,
120, 230, 117, 111, 145, 168, 169, 187, 23, 109,
0, 184, 23, 43, 108, 201, 13, 170, 249, 228,
107, 59, 73, 254, 116, 156, 209, 155, 149, 95,
24, 245, 136, 107, 192, 114, 69, 80, 199, 8
};
Mat_<uchar> image(10, 10, image_data);
Mat res;
cv::intensity_transform::gammaCorrection(image, res, 1.0);
uchar expectedRes_data[] = {
51, 211, 212, 38, 48, 25, 189, 16, 64, 197,
104, 137, 60, 10, 78, 234, 186, 149, 37, 236,
128, 80, 6, 53, 7, 65, 233, 15, 216, 42,
108, 132, 136, 194, 117, 128, 214, 46, 220, 119,
101, 126, 148, 22, 86, 206, 91, 125, 234, 24,
162, 136, 46, 247, 245, 81, 157, 126, 73, 173,
120, 230, 117, 111, 145, 168, 169, 187, 23, 109,
0, 184, 23, 43, 108, 201, 13, 170, 249, 228,
107, 59, 73, 254, 116, 156, 209, 155, 149, 95,
24, 245, 136, 107, 192, 114, 69, 80, 199, 8
};
Mat_<uchar> expectedRes(10, 10, expectedRes_data);
EXPECT_LE(cvtest::norm(res, expectedRes, NORM_INF), 1);
}
TEST(intensity_transform_gammaCorrection, accuracy2)
{
uchar image_data[] = {
51, 211, 212, 38, 48, 25, 189, 16, 64, 197,
104, 137, 60, 10, 78, 234, 186, 149, 37, 236,
128, 80, 6, 53, 7, 65, 233, 15, 216, 42,
108, 132, 136, 194, 117, 128, 214, 46, 220, 119,
101, 126, 148, 22, 86, 206, 91, 125, 234, 24,
162, 136, 46, 247, 245, 81, 157, 126, 73, 173,
120, 230, 117, 111, 145, 168, 169, 187, 23, 109,
0, 184, 23, 43, 108, 201, 13, 170, 249, 228,
107, 59, 73, 254, 116, 156, 209, 155, 149, 95,
24, 245, 136, 107, 192, 114, 69, 80, 199, 8
};
Mat_<uchar> image(10, 10, image_data);
Mat res;
cv::intensity_transform::gammaCorrection(image, res, (float)(0.4));
uchar expectedRes_data[] = {
133, 236, 236, 119, 130, 100, 226, 84, 146, 229,
178, 198, 142, 69, 158, 246, 224, 205, 117, 247,
193, 160, 56, 136, 60, 147, 245, 82, 238, 123,
180, 195, 198, 228, 186, 193, 237, 128, 240, 187,
176, 192, 205, 95, 165, 234, 168, 191, 246, 99,
212, 198, 128, 251, 250, 161, 210, 192, 154, 218,
188, 244, 186, 182, 203, 215, 216, 225, 97, 181,
0, 223, 97, 125, 180, 231, 77, 216, 252, 243,
180, 141, 154, 254, 186, 209, 235, 208, 205, 171,
99, 250, 198, 180, 227, 184, 151, 160, 230, 63
};
Mat_<uchar> expectedRes(10, 10, expectedRes_data);
EXPECT_LE(cvtest::norm(res, expectedRes, NORM_INF), 1);
}
TEST(intensity_transform_autoscaling, accuracy)
{
uchar image_data[] = {
32, 59, 164, 127, 151, 107, 167, 62, 195, 143,
54, 166, 104, 27, 152, 20, 35, 135, 12, 198,
107, 63, 90, 169, 67, 135, 136, 14, 94, 115,
34, 150, 169, 171, 130, 39, 190, 108, 103, 32,
57, 83, 146, 37, 81, 143, 144, 47, 87, 49,
32, 108, 17, 165, 127, 137, 108, 35, 179, 175,
40, 148, 174, 79, 146, 119, 103, 168, 167, 160,
66, 107, 164, 19, 85, 126, 58, 95, 15, 131,
88, 58, 162, 90, 147, 125, 61, 157, 60, 104,
128, 193, 69, 104, 94, 196, 11, 66, 18, 179
};
Mat_<uchar> image(10, 10, image_data);
Mat res;
cv::intensity_transform::autoscaling(image, res);
uchar expectedRes_data[] = {
29, 65, 209, 158, 191, 131, 213, 70, 251, 180,
59, 211, 127, 22, 192, 12, 33, 169, 1, 255,
131, 71, 108, 215, 76, 169, 170, 4, 113, 142,
31, 190, 215, 218, 162, 38, 244, 132, 125, 29,
63, 98, 184, 35, 95, 180, 181, 49, 104, 52,
29, 132, 8, 210, 158, 172, 132, 33, 229, 224,
40, 187, 222, 93, 184, 147, 125, 214, 213, 203,
75, 131, 209, 11, 101, 157, 64, 115, 5, 164,
105, 64, 206, 108, 185, 155, 68, 199, 67, 127,
160, 248, 79, 127, 113, 252, 0, 75, 10, 229
};
Mat_<uchar> expectedRes(10, 10, expectedRes_data);
EXPECT_LE(cvtest::norm(res, expectedRes, NORM_INF), 1);
}
TEST(intensity_transform_contrastStretching, accuracy)
{
uchar image_data[] = {
32, 59, 164, 127, 151, 107, 167, 62, 195, 143,
54, 166, 104, 27, 152, 20, 35, 135, 12, 198,
107, 63, 90, 169, 67, 135, 136, 14, 94, 115,
34, 150, 169, 171, 130, 39, 190, 108, 103, 32,
57, 83, 146, 37, 81, 143, 144, 47, 87, 49,
32, 108, 17, 165, 127, 137, 108, 35, 179, 175,
40, 148, 174, 79, 146, 119, 103, 168, 167, 160,
66, 107, 164, 19, 85, 126, 58, 95, 15, 131,
88, 58, 162, 90, 147, 125, 61, 157, 60, 104,
128, 193, 69, 104, 94, 196, 11, 66, 18, 179
};
Mat_<uchar> image(10, 10, image_data);
Mat res;
cv::intensity_transform::contrastStretching(image, res, 70, 15, 120, 240);
uchar expectedRes_data[] = {
6, 12, 244, 240, 243, 181, 245, 13, 248, 242,
11, 245, 168, 5, 243, 4, 7, 241, 2, 248,
181, 13, 105, 245, 14, 241, 241, 3, 123, 217,
7, 243, 245, 245, 241, 8, 247, 186, 163, 6,
12, 73, 242, 7, 64, 242, 242, 10, 91, 10,
6, 186, 3, 245, 240, 241, 186, 7, 246, 246,
8, 243, 246, 55, 242, 235, 163, 245, 245, 244,
14, 181, 244, 4, 82, 240, 12, 127, 3, 241,
96, 12, 244, 105, 243, 240, 13, 244, 12, 168,
240, 248, 14, 168, 123, 248, 2, 14, 3, 246
};
Mat_<uchar> expectedRes(10, 10, expectedRes_data);
EXPECT_LE(cvtest::norm(res, expectedRes, NORM_INF), 1);
}
typedef testing::TestWithParam<std::string> intensity_transform_BIMEF;
TEST_P(intensity_transform_BIMEF, accuracy)
{
#ifdef HAVE_EIGEN
const std::string directory = "intensity_transform/BIMEF/";
std::string filename = GetParam();
const std::string inputFilename = cvtest::findDataFile(directory + filename + ".png");
Mat img = imread(inputFilename);
EXPECT_TRUE(!img.empty());
Mat imgBIMEF;
BIMEF(img, imgBIMEF);
const std::string referenceFilename = cvtest::findDataFile(directory + filename + "_ref.png");
Mat imgRef = imread(referenceFilename);
EXPECT_TRUE(!imgRef.empty());
EXPECT_EQ(imgBIMEF.rows, imgRef.rows);
EXPECT_EQ(imgBIMEF.cols, imgRef.cols);
EXPECT_EQ(imgBIMEF.type(), imgRef.type());
double rmse = sqrt(cv::norm(imgBIMEF, imgRef, NORM_L2SQR) / (imgRef.total()*imgRef.channels()));
std::cout << "BIMEF, RMSE for " << filename << ": " << rmse << std::endl;
const float max_rmse = 9;
EXPECT_LE(rmse, max_rmse);
#endif
}
const string BIMEF_accuracy_cases[] = {
"P1000205_resize",
"P1010676_resize",
"P1010815_resize"
};
INSTANTIATE_TEST_CASE_P(/*nothing*/, intensity_transform_BIMEF,
testing::ValuesIn(BIMEF_accuracy_cases)
);
}} // namespace
modules/intensity_transform/test/test_main.cpp
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "test_precomp.hpp"
CV_TEST_MAIN("cv")
modules/intensity_transform/test/test_precomp.hpp
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#ifndef __OPENCV_TEST_PRECOMP_HPP__
#define __OPENCV_TEST_PRECOMP_HPP__
#include "opencv2/ts.hpp"
#include "opencv2/intensity_transform.hpp"
namespace opencv_test {
using namespace cv::intensity_transform;
}
#endif