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Merge pull request #27369 from SaraKuhnert:minEnclosingPolygon

imgproc: add minEnclosingConvexPolygon #27369

### Pull Request Readiness Checklist

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
This commit is contained in:
SaraKuhnert
2025-09-23 21:14:12 +02:00
committed by GitHub
parent 3492b71dfb
commit 79793e169e
4 changed files with 1191 additions and 1 deletions
+101
View File
@@ -1069,5 +1069,106 @@ TEST(minEnclosingCircle, three_points)
EXPECT_LE(delta, 1.f);
}
//============================ minEnclosingPolygon tests ============================
TEST(minEnclosingPolygon, input_errors)
{
std::vector<cv::Point2f> kgon;
std::vector<cv::Point2f> ngon {{0.0, 0.0}, {1.0, 1.0}};
EXPECT_THROW(minEnclosingConvexPolygon(ngon, kgon, 3), cv::Exception);
ngon = {{0.0, 0.0}, {0.0, 1.0}, {1.0, 0.0}, {1.0, 1.0}};
EXPECT_THROW(minEnclosingConvexPolygon(ngon, kgon, 2), cv::Exception);
EXPECT_THROW(minEnclosingConvexPolygon(ngon, kgon, 5), cv::Exception);
}
TEST(minEnclosingPolygon, input_corner_cases)
{
double area = -1.0;
std::vector<cv::Point2f> kgon;
std::vector<cv::Point2f> ngon = {{0.0, 0.0}, {0.0, 0.0}, {1.0, 1.0}, {1.0, 1.0}};
EXPECT_NO_THROW(area = minEnclosingConvexPolygon(ngon, kgon, 3))
<< "unexpected exception: not enough different points in input ngon (double points)";
EXPECT_LE(area, 0.);
EXPECT_TRUE(kgon.empty());
ngon = {{0.0, 0.0}, {1.0, 1.0}, {2.0, 2.0}, {3.0, 3.0}, {4.0, 4.0}};
EXPECT_NO_THROW(area = minEnclosingConvexPolygon(ngon, kgon, 3))
<< "unexpected exception: all points on line";
EXPECT_LE(area, 0.);
EXPECT_TRUE(kgon.empty());
}
TEST(minEnclosingPolygon, unit_circle)
{
const int n = 64;
const int k = 7;
double area = -1.0;
std::vector<cv::Point2f> kgon;
std::vector<cv::Point2f> ngon(n);
for(int i = 0; i < n; i++)
{
ngon[i] = { cosf(float(i * 2.f * M_PI / n)), sinf(float(i * 2.f * M_PI / n)) };
}
EXPECT_NO_THROW(area = minEnclosingConvexPolygon(ngon, kgon, k));
EXPECT_GT(area, cv::contourArea(ngon));
EXPECT_EQ((int)kgon.size(), k);
}
TEST(minEnclosingPolygon, random_points)
{
const int n = 100;
const int k = 7;
double area = -1.0;
std::vector<cv::Point2f> kgon;
std::vector<cv::Point2f> ngon(n);
std::vector<cv::Point2f> ngonHull;
cv::randu(ngon, 1, 101);
cv::convexHull(ngon, ngonHull, true);
EXPECT_NO_THROW(area = minEnclosingConvexPolygon(ngon, kgon, k));
EXPECT_GT(area, cv::contourArea(ngonHull));
EXPECT_EQ(kgon.size(), (size_t)k);
}
TEST(minEnclosingPolygon, pentagon)
{
double area;
std::vector<cv::Point2f> kgon;
std::vector<cv::Point2f> expectedKgon;
std::vector<cv::Point2f> ngon;
ngon = {{1, 0}, {0, 8}, {4, 12}, {8, 8}, {7, 0}};
EXPECT_NO_THROW({
area = minEnclosingConvexPolygon(ngon, kgon, 4);
});
expectedKgon = {{1, 0}, {-0.5, 12}, {8.5, 12}, {7, 0}};
EXPECT_EQ(area, cv::contourArea(expectedKgon));
ASSERT_EQ((int)kgon.size(), 4);
for (size_t i = 0; i < 4; i++)
{
bool match = false;
for (size_t j = 0; j < 4; j++)
{
if(expectedKgon[i].x == kgon[j].x && expectedKgon[i].y == kgon[j].y)
{
match = true;
break;
}
}
EXPECT_EQ(match, true);
}
}
}} // namespace
/* End of file. */