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mirror of https://github.com/opencv/opencv_contrib.git synced 2025-10-18 00:01:17 +08:00

Merge pull request #3322 from MisakiCoca:ellipse

This commit is contained in:
Zhanbo Huang
2022-10-24 22:44:24 +08:00
committed by GitHub
parent ff5da1e154
commit 11b056b263
8 changed files with 2159 additions and 0 deletions

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@@ -16,3 +16,4 @@ Extended Image Processing
- Pei&Lin Normalization
- Ridge Detection Filter
- Binary morphology on run-length encoded images
- Ellipse Detector

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@@ -389,3 +389,14 @@ pages={617--632},
year={2021},
publisher={Springer}
}
@article{jia2017fast,
title={A fast ellipse detector using projective invariant pruning},
author={Jia, Qi and Fan, Xin and Luo, Zhongxuan and Song, Lianbo and Qiu, Tie},
journal={IEEE Transactions on Image Processing},
volume={26},
number={8},
pages={3665--3679},
year={2017},
publisher={IEEE}
}

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@@ -62,6 +62,7 @@
#include "ximgproc/edgepreserving_filter.hpp"
#include "ximgproc/color_match.hpp"
#include "ximgproc/radon_transform.hpp"
#include "ximgproc/find_ellipses.hpp"
/** @defgroup ximgproc Extended Image Processing

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@@ -0,0 +1,38 @@
// 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_FIND_ELLIPSES_HPP__
#define __OPENCV_FIND_ELLIPSES_HPP__
#include <opencv2/core.hpp>
namespace cv {
namespace ximgproc {
//! @addtogroup ximgproc
//! @{
/**
@brief Finds ellipses fastly in an image using projective invariant pruning.
*
* The function detects ellipses in images using projective invariant pruning.
* For more details about this implementation, please see
* [JIA2017FAST] Jia, Qi et al, (2017).
* A Fast Ellipse Detector using Projective Invariant Pruning. IEEE Transactions on Image Processing.
*
@param image input image, could be gray or color.
@param ellipses output vector of found ellipses. each vector is encoded as five float $x, y, a, b, radius, score$.
@param scoreThreshold float, the threshold of ellipse score.
@param reliabilityThreshold float, the threshold of reliability.
@param centerDistanceThreshold float, the threshold of center distance.
*/
CV_EXPORTS_W void findEllipses(
InputArray image, OutputArray ellipses,
float scoreThreshold = 0.7f, float reliabilityThreshold = 0.5f,
float centerDistanceThreshold = 0.05f
);
//! @} ximgproc
}
}
#endif

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@@ -0,0 +1,27 @@
// 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 "perf_precomp.hpp"
namespace opencv_test { namespace {
typedef tuple<Size, MatType, int> FindEllipsesTestParam;
typedef TestBaseWithParam<FindEllipsesTestParam> FindEllipsesTest;
PERF_TEST_P(FindEllipsesTest, perf, Combine(SZ_TYPICAL, Values(CV_8U), Values(1, 3)))
{
FindEllipsesTestParam params = GetParam();
Size sz = get<0>(params);
int matType = get<1>(params);
int srcCn = get<2>(params);
Mat src(sz, CV_MAKE_TYPE(matType, srcCn));
Mat dst(sz, CV_32FC(6));
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() findEllipses(src, dst, 0.7f, 0.5f, 0.05f);
SANITY_CHECK_NOTHING();
}
}} // namespace

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@@ -0,0 +1,50 @@
// 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 <iostream>
#include <opencv2/imgproc.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/ximgproc.hpp>
#include <opencv2/highgui.hpp>
using namespace cv;
int main() {
// load image
Mat img = imread(samples::findFile("stuff.jpg"), IMREAD_COLOR);
// check if image is loaded
if (img.empty()) {
std::cout << "fail to open image" << std::endl;
return EXIT_FAILURE;
}
// create output array
std::vector<Vec6f> ells;
// test ellipse detection
cv::ximgproc::findEllipses(img, ells, 0.4f, 0.7f, 0.02f);
// print output
for (unsigned i = 0; i < ells.size(); i++) {
Vec6f ell = ells[i];
std::cout << ell << std::endl;
Scalar color(0, 0, 255);
// draw ellipse on image
ellipse(
img,
Point(cvRound(ell[0]), cvRound(ell[1])),
Size(cvRound(ell[2]), cvRound(ell[3])),
ell[5] * 180 / CV_PI, 0.0, 360.0, color, 3
);
}
// show image
imshow("result", img);
waitKey();
// end
return 0;
}

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@@ -0,0 +1,43 @@
// 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(FindEllipsesTest, EllipsesOnly)
{
std::string picture_name = "cv/imgproc/stuff.jpg";
std::string filename = cvtest::TS::ptr()->get_data_path() + picture_name;
Mat src = imread(filename, IMREAD_GRAYSCALE);
EXPECT_FALSE(src.empty()) << "Invalid test image: " << filename;
std::vector<Vec6f> ells;
ximgproc::findEllipses(src, ells, 0.7f, 0.75f, 0.02f);
// number check
EXPECT_EQ(ells.size(), size_t(3)) << "Should find 3 ellipses";
// position check
// target centers
Point2f center_1(226.9, 57.2);
Point2f center_2(393.1, 187.0);
Point2f center_3(208.5, 307.5);
// matching
for (auto ell: ells) {
bool has_match = false;
for (auto c: {center_1, center_2, center_3}) {
Point2f diff = c - Point2f(ell[0], ell[1]);
float distance = sqrt(diff.x * diff.x + diff.y * diff.y);
if (distance < 5.0) {
has_match = true;
break;
}
}
EXPECT_TRUE(has_match) << "Wrong ellipse center:" << Point2f(ell[0], ell[1]);
}
}
}}