OpenLvVision OpenCV

OpenLvVision OpenCV is a powerful LabVIEW wrapper for the OpenCV library. It brings advanced computer vision algorithms, linear algebra, and signal processing capabilities directly into LabVIEW, utilizing efficient Mat handling and polymorphic VIs.

Documentation

For a complete reference of all functions and detailed usage, visit:
openlvvision.org/docs/opencv/

Note: This library is currently in active development. Additional OpenCV modules will be included in future updates.

Dynamic MAT API

The Mat type is reconstructed as closely as possible using malleable and polymorphic VIs. If a function can be done in OpenCV C++, there is a high chance it will also work in the LabVIEW version.

Functionality Overview

Core Functions:

Arithmetic Operations: AbsDiff, Add, AddWeighted, ConvertScaleAbs, Divide, Exp, Log, Multiply, Pow, ScaleAdd, Sqrt, Subtract, Sum.

Bitwise Operations: BitwiseAnd, BitwiseNot, BitwiseOr, BitwiseXor.

Channel Manipulation: ExtractChannel, InsertChannel, LUT, Merge, MixChannels, Split.

Comparison: CheckRange, Compare, InRange.

Data Concatenation: Hconcat, Vconcat.

Fourier Transforms: Dct, Idct, Dft_Real, Dft_Complex, IDft_Real, IDft_Complex, GetOptimalDftSize, MulSpectrums.

Geometric Operations: CartToPolar, PolarToCart, Magnitude, Phase.

Linear Algebra: CompleteSymm, Determinant, Eigen, EigenNonSymmetric, Gemm, Invert, MulTransposed, Norm, PatchNaNs, SetIdentity, Solve, SolveCubic, SolvePoly.

Matrix Transformations: BorderInterpolate, CopyMakeBorder, Flip, FlipNd, PerspectiveTransform, Repeat, Rotate, TransformTo2D, TransformTo3D, TransformTo4D, Transpose.

Reduction: Reduce, ReduceArgMax, ReduceArgMin, Trace.

Similarity Metrics: BatchDistance, Mahalanobis, PSNR.

Sort: Sort, SortIdx.

Statistical: CountNonZero, FindNonZero, HasNonZero, Max, Min, Mean, MeanStdDev, MinMaxIdx, MinMaxLoc, Normalize.

System & Utilities: CheckHardware, GetBuildInfos, GetNumThreads, GetVersion, SetNumThreads, WriteRngSeed.

Subspace Functions (Functional API): PCACompute, PCABackProject, PCAProject, SubspaceProject, SubspaceReconstruct, SVBackSubst, SVDecomp, SVD_Compute, SVD_SolveZ.

Object-Oriented Classes:

PCA (Principal Component Analysis): Compute, Project, BackProject, and file I/O.

LDA (Linear Discriminant Analysis): Compute, Project, Reconstruct, and classification models.

SVD (Singular Value Decomposition): Decompose matrices and solve linear systems.

RNG (Random Number Generator): Gaussian/Uniform generation, state management, and array filling.

System Requirements

LabVIEW: 2020 or newer (Community Edition supported)
OS: Windows
Dependencies: NI Vision Development Module Runtime (License not required)

Third Party Copyrights

Copyright (C) 2000-2025, National Instruments Corporation, all rights reserved.
Copyright (C) 2000-2022, Intel Corporation, all rights reserved.
Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.
Copyright (C) 2009-2016, NVIDIA Corporation, all rights reserved.
Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
Copyright (C) 2015-2023, OpenCV Foundation, all rights reserved.
Copyright (C) 2008-2016, Itseez Inc., all rights reserved.
Copyright (C) 2019-2023, Xperience AI, all rights reserved.
Copyright (C) 2019-2022, Shenzhen Institute of Artificial Intelligence and Robotics for Society, all rights reserved.
Copyright (C) 2022-2023, Southern University of Science And Technology, all rights reserved.
Copyright (C) 2023-2025, John Medland, all rights reserved.
Copyright (C) 2011-2014, The OpenBLAS Project, all rights reserved.

Third party copyrights are property of their respective owners.