mirror of
https://github.com/opencv/opencv.git
synced 2024-11-26 20:20:20 +08:00
468 lines
11 KiB
C++
468 lines
11 KiB
C++
// 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"
|
|
//#include "opencv2/imgproc/segmentation.hpp"
|
|
|
|
namespace opencv_test { namespace {
|
|
|
|
|
|
Mat getTestImageGray()
|
|
{
|
|
static Mat m;
|
|
if (m.empty())
|
|
{
|
|
m = imread(findDataFile("shared/lena.png"), IMREAD_GRAYSCALE);
|
|
}
|
|
return m.clone();
|
|
}
|
|
|
|
Mat getTestImageColor()
|
|
{
|
|
static Mat m;
|
|
if (m.empty())
|
|
{
|
|
m = imread(findDataFile("shared/lena.png"), IMREAD_COLOR);
|
|
}
|
|
return m.clone();
|
|
}
|
|
|
|
Mat getTestImage1()
|
|
{
|
|
static Mat m;
|
|
if (m.empty())
|
|
{
|
|
m.create(Size(200, 100), CV_8UC1);
|
|
m.setTo(Scalar::all(128));
|
|
Rect roi(50, 30, 100, 40);
|
|
m(roi).setTo(Scalar::all(0));
|
|
#if 0
|
|
imshow("image", m);
|
|
waitKey();
|
|
#endif
|
|
}
|
|
return m.clone();
|
|
}
|
|
|
|
Mat getTestImage2()
|
|
{
|
|
static Mat m;
|
|
if (m.empty())
|
|
{
|
|
m.create(Size(200, 100), CV_8UC1);
|
|
m.setTo(Scalar::all(128));
|
|
Rect roi(40, 30, 100, 40);
|
|
m(roi).setTo(Scalar::all(255));
|
|
#if 0
|
|
imshow("image", m);
|
|
waitKey();
|
|
#endif
|
|
}
|
|
return m.clone();
|
|
}
|
|
|
|
Mat getTestImage3()
|
|
{
|
|
static Mat m;
|
|
if (m.empty())
|
|
{
|
|
m.create(Size(200, 100), CV_8UC1);
|
|
m.setTo(Scalar::all(128));
|
|
Scalar color(0,0,0,0);
|
|
line(m, Point(30, 50), Point(50, 50), color, 1);
|
|
line(m, Point(50, 50), Point(80, 30), color, 1);
|
|
line(m, Point(150, 50), Point(80, 30), color, 1);
|
|
line(m, Point(150, 50), Point(180, 50), color, 1);
|
|
|
|
line(m, Point(80, 10), Point(80, 90), Scalar::all(200), 1);
|
|
line(m, Point(100, 10), Point(100, 90), Scalar::all(200), 1);
|
|
line(m, Point(120, 10), Point(120, 90), Scalar::all(200), 1);
|
|
#if 0
|
|
imshow("image", m);
|
|
waitKey();
|
|
#endif
|
|
}
|
|
return m.clone();
|
|
}
|
|
|
|
Mat getTestImage4()
|
|
{
|
|
static Mat m;
|
|
if (m.empty())
|
|
{
|
|
m.create(Size(200, 100), CV_8UC1);
|
|
for (int y = 0; y < m.rows; y++)
|
|
{
|
|
for (int x = 0; x < m.cols; x++)
|
|
{
|
|
float dx = (float)(x - 100);
|
|
float dy = (float)(y - 100);
|
|
float d = sqrtf(dx * dx + dy * dy);
|
|
m.at<uchar>(y, x) = saturate_cast<uchar>(100 + 100 * sin(d / 10 * CV_PI));
|
|
}
|
|
}
|
|
#if 0
|
|
imshow("image", m);
|
|
waitKey();
|
|
#endif
|
|
}
|
|
return m.clone();
|
|
}
|
|
|
|
Mat getTestImage5()
|
|
{
|
|
static Mat m;
|
|
if (m.empty())
|
|
{
|
|
m.create(Size(200, 100), CV_8UC1);
|
|
for (int y = 0; y < m.rows; y++)
|
|
{
|
|
for (int x = 0; x < m.cols; x++)
|
|
{
|
|
float dx = (float)(x - 100);
|
|
float dy = (float)(y - 100);
|
|
float d = sqrtf(dx * dx + dy * dy);
|
|
m.at<uchar>(y, x) = saturate_cast<uchar>(x / 2 + 100 * sin(d / 10 * CV_PI));
|
|
}
|
|
}
|
|
#if 0
|
|
imshow("image", m);
|
|
waitKey();
|
|
#endif
|
|
}
|
|
return m.clone();
|
|
}
|
|
|
|
void show(const Mat& img, const std::vector<Point> pts)
|
|
{
|
|
if (cvtest::debugLevel >= 10)
|
|
{
|
|
Mat dst = img.clone();
|
|
std::vector< std::vector<Point> > contours;
|
|
contours.push_back(pts);
|
|
polylines(dst, contours, false, Scalar::all(255));
|
|
imshow("dst", dst);
|
|
waitKey();
|
|
}
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, rect)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
|
|
tool.applyImage(getTestImage1());
|
|
|
|
Point source_point(50, 30);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(100, 30);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
|
|
tool.applyImage(getTestImage2());
|
|
|
|
tool.buildMap(source_point);
|
|
|
|
std::vector<Point> pts2;
|
|
tool.getContour(target_point, pts2, true/*backward*/);
|
|
|
|
EXPECT_EQ(pts.size(), pts2.size());
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, lines)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
Mat image = getTestImage3();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(30, 50);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(150, 50);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
|
|
EXPECT_EQ((size_t)121, pts.size());
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, circles)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
tool.setGradientMagnitudeMaxLimit(10);
|
|
|
|
Mat image = getTestImage4();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(50, 50);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(150, 50);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
|
|
EXPECT_EQ((size_t)101, pts.size());
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, circles_gradient)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
Mat image = getTestImage5();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(50, 50);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(150, 50);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
|
|
EXPECT_EQ((size_t)101, pts.size());
|
|
show(image, pts);
|
|
}
|
|
|
|
#define PTS_SIZE_EPS 2
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, grayscale)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
|
|
Mat image = getTestImageGray();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
|
|
size_t gold = 206;
|
|
EXPECT_GE(pts.size(), gold - PTS_SIZE_EPS);
|
|
EXPECT_LE(pts.size(), gold + PTS_SIZE_EPS);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, check_features_grayscale_1_0_0_zerro_crossing_with_limit)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
tool.setEdgeFeatureZeroCrossingParameters(64);
|
|
tool.setWeights(1.0f, 0.0f, 0.0f);
|
|
|
|
Mat image = getTestImageGray();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
|
|
size_t gold = 207;
|
|
EXPECT_GE(pts.size(), gold - PTS_SIZE_EPS);
|
|
EXPECT_LE(pts.size(), gold + PTS_SIZE_EPS);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, check_features_grayscale_1_0_0_canny)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
tool.setEdgeFeatureCannyParameters(50, 100);
|
|
tool.setWeights(1.0f, 0.0f, 0.0f);
|
|
|
|
Mat image = getTestImageGray();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
|
|
size_t gold = 201;
|
|
EXPECT_GE(pts.size(), gold - PTS_SIZE_EPS);
|
|
EXPECT_LE(pts.size(), gold + PTS_SIZE_EPS);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, check_features_grayscale_0_1_0)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
tool.setWeights(0.0f, 1.0f, 0.0f);
|
|
|
|
Mat image = getTestImageGray();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
|
|
size_t gold = 166;
|
|
EXPECT_GE(pts.size(), gold - PTS_SIZE_EPS);
|
|
EXPECT_LE(pts.size(), gold + PTS_SIZE_EPS);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, check_features_grayscale_0_0_1)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
tool.setWeights(0.0f, 0.0f, 1.0f);
|
|
|
|
Mat image = getTestImageGray();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
|
|
size_t gold = 197;
|
|
EXPECT_GE(pts.size(), gold - PTS_SIZE_EPS);
|
|
EXPECT_LE(pts.size(), gold + PTS_SIZE_EPS);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, color)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
|
|
Mat image = getTestImageColor();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
|
|
size_t gold = 205;
|
|
EXPECT_GE(pts.size(), gold - PTS_SIZE_EPS);
|
|
EXPECT_LE(pts.size(), gold + PTS_SIZE_EPS);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, color_canny)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
tool.setEdgeFeatureCannyParameters(32, 100);
|
|
|
|
Mat image = getTestImageColor();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
|
|
size_t gold = 200;
|
|
EXPECT_GE(pts.size(), gold - PTS_SIZE_EPS);
|
|
EXPECT_LE(pts.size(), gold + PTS_SIZE_EPS);
|
|
show(image, pts);
|
|
}
|
|
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, color_custom_features_invalid)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
ASSERT_ANY_THROW(tool.applyImageFeatures(noArray(), noArray(), noArray()));
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, color_custom_features_edge)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
|
|
Mat image = getTestImageColor();
|
|
|
|
Mat canny_edges;
|
|
Canny(image, canny_edges, 32, 100, 5);
|
|
Mat binary_edge_feature;
|
|
cv::threshold(canny_edges, binary_edge_feature, 254, 1, THRESH_BINARY_INV);
|
|
tool.applyImageFeatures(binary_edge_feature, noArray(), noArray(), image);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
|
|
size_t gold = 201;
|
|
EXPECT_GE(pts.size(), gold - PTS_SIZE_EPS);
|
|
EXPECT_LE(pts.size(), gold + PTS_SIZE_EPS);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, color_custom_features_all)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
|
|
tool.setWeights(0.9f, 0.0f, 0.1f);
|
|
|
|
Mat image = getTestImageColor();
|
|
|
|
Mat canny_edges;
|
|
Canny(image, canny_edges, 50, 100, 5);
|
|
Mat binary_edge_feature; // 0, 1 values
|
|
cv::threshold(canny_edges, binary_edge_feature, 254, 1, THRESH_BINARY_INV);
|
|
|
|
Mat_<Point2f> gradient_direction(image.size(), Point2f(0, 0)); // normalized
|
|
Mat_<float> gradient_magnitude(image.size(), 0); // cost function
|
|
tool.applyImageFeatures(binary_edge_feature, gradient_direction, gradient_magnitude);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
|
|
size_t gold = 201;
|
|
EXPECT_GE(pts.size(), gold - PTS_SIZE_EPS);
|
|
EXPECT_LE(pts.size(), gold + PTS_SIZE_EPS);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, color_custom_features_edge_magnitude)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
|
|
tool.setWeights(0.9f, 0.0f, 0.1f);
|
|
|
|
Mat image = getTestImageColor();
|
|
|
|
Mat canny_edges;
|
|
Canny(image, canny_edges, 50, 100, 5);
|
|
Mat binary_edge_feature; // 0, 1 values
|
|
cv::threshold(canny_edges, binary_edge_feature, 254, 1, THRESH_BINARY_INV);
|
|
|
|
Mat_<float> gradient_magnitude(image.size(), 0); // cost function
|
|
tool.applyImageFeatures(binary_edge_feature, noArray(), gradient_magnitude);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
|
|
size_t gold = 201;
|
|
EXPECT_GE(pts.size(), gold - PTS_SIZE_EPS);
|
|
EXPECT_LE(pts.size(), gold + PTS_SIZE_EPS);
|
|
show(image, pts);
|
|
}
|
|
|
|
|
|
}} // namespace
|