randn             246 modules/calib3d/src/dls.cpp     cv::randn(u, 0, 200);
randn            2154 modules/core/include/opencv2/core.hpp CV_EXPORTS_W void randn(InputOutputArray dst, InputArray mean, InputArray stddev);
randn             129 modules/core/include/opencv2/core/matx.hpp     static Matx randn(_Tp a, _Tp b);
randn             188 modules/core/include/opencv2/core/operations.hpp     cv::randn(M, Scalar(a), Scalar(b));
randn            1547 modules/core/misc/java/test/CoreTest.java         Core.randn(gray0, 100, 23);
randn              89 modules/ml/test/test_emknearestkmeans.cpp     randn( data, Scalar::all(-1.0), Scalar::all(1.0) );
randn              49 modules/photo/test/test_denoise_tvl1.cpp     cv::randn(noise, cv::Scalar::all(0), cv::Scalar::all(2));
randn              34 samples/cpp/em.cpp         randn( samples_part, mean, sigma );
randn              86 samples/cpp/image.cpp     randn(noise, Scalar::all(128), Scalar::all(20)); // fills the matrix with normally distributed random values;
randn              42 samples/cpp/kalman.cpp         randn( state, Scalar::all(0), Scalar::all(0.1) );
randn              50 samples/cpp/kalman.cpp         randn(KF.statePost, Scalar::all(0), Scalar::all(0.1));
randn              63 samples/cpp/kalman.cpp             randn( measurement, Scalar::all(0), Scalar::all(KF.measurementNoiseCov.at<float>(0)));
randn              88 samples/cpp/kalman.cpp             randn( processNoise, Scalar(0), Scalar::all(sqrt(KF.processNoiseCov.at<float>(0, 0))));
randn              99 samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp     randn(noisyI, Scalar::all(128), Scalar::all(20));