opencv/modules/features2d/test/test_blobdetector.cpp
Petr Glotov a3ebafbdeb
Merge pull request #21942 from pglotov:add-blob-contours
added blob contours to blob detector

* added blob contours

* Fixed Java regression test after new parameter addition to SimpleBlobDetector.

* Added stub implementation of SimpleBlobDetector::getBlobContours to presume source API compatibility.
2022-10-07 19:07:51 +03:00

47 lines
1.8 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"
namespace opencv_test { namespace {
TEST(Features2d_BlobDetector, bug_6667)
{
cv::Mat image = cv::Mat(cv::Size(100, 100), CV_8UC1, cv::Scalar(255, 255, 255));
cv::circle(image, Point(50, 50), 20, cv::Scalar(0), -1);
SimpleBlobDetector::Params params;
params.minThreshold = 250;
params.maxThreshold = 260;
params.minRepeatability = 1; // https://github.com/opencv/opencv/issues/6667
std::vector<KeyPoint> keypoints;
Ptr<SimpleBlobDetector> detector = SimpleBlobDetector::create(params);
detector->detect(image, keypoints);
ASSERT_NE((int) keypoints.size(), 0);
}
TEST(Features2d_BlobDetector, withContours)
{
cv::Mat image = cv::Mat(cv::Size(100, 100), CV_8UC1, cv::Scalar(255, 255, 255));
cv::circle(image, Point(50, 50), 20, cv::Scalar(0), -1);
SimpleBlobDetector::Params params;
params.minThreshold = 250;
params.maxThreshold = 260;
params.minRepeatability = 1; // https://github.com/opencv/opencv/issues/6667
params.collectContours = true;
std::vector<KeyPoint> keypoints;
Ptr<SimpleBlobDetector> detector = SimpleBlobDetector::create(params);
detector->detect(image, keypoints);
ASSERT_NE((int)keypoints.size(), 0);
ASSERT_GT((int)detector->getBlobContours().size(), 0);
std::vector<Point> contour = detector->getBlobContours()[0];
ASSERT_TRUE(std::any_of(contour.begin(), contour.end(),
[](Point p)
{
return abs(p.x - 30) < 2 && abs(p.y - 50) < 2;
}));
}
}} // namespace