Argos Logo

Argos

Digital Image Correlation Software

GPU-Accelerated DIC with Discontinuity Enrichment

Argos2D embeds Heaviside-enriched shape functions directly into the correlation, capturing cracks, twins and slip bands.

Argos2D interface — displacement field with Heaviside enrichment

Dataset from A. Rouwane, D. Texier, J.-N. Périé, J.-E. Dufour, J.C. Stinville et al., Optics and Laser Technology, Vol. 177, 2024. Courtesy of Damien Texier.

CUDA native Multi-GPU compatible Interactive visualization

Heaviside-Enriched Displacement Fields

Standard DIC assumes continuous displacement inside each subset, which smears out discontinuities across several pixels. Argos adds a Heaviside step function to the correlation model, allowing a sharp jump to be identified within each subset.

The subset shape function is augmented with a jump vector and a Heaviside function:

φ(x) = x + u rigid body + ∇u · (xx0) first gradient + u' · H(xx0) jump × Heaviside
Conventional DIC Heaviside-DIC

Based on: F. Bourdin, J.C. Stinville, M.P. Echlin, P.G. Callahan, W.C. Lenthe, C.J. Torbet, D. Texier, F. Bridier, J. Cormier, P. Villechaise, T.M. Pollock, V. Valle, Measurements of plastic localization by heaviside-digital image correlation, Acta Materialia, Vol. 157, pp. 307–325, 2018. DOI

Standard DIC
Heaviside-DIC

Ux displacement field computed on a dataset from A. Rouwane, D. Texier, J.-N. Périé, J.-E. Dufour, J.C. Stinville et al., "High resolution and large field of view imaging using a stitching procedure coupled with distortion corrections", Optics and Laser Technology, Vol. 177, 2024. Dataset courtesy of Damien Texier.

Fracture & Discontinuity Analysis

Dedicated post-processing for cracks, twins and slip bands.

The fracture tab exposes the full enrichment output: crack opening displacement (intensity and direction), crack angle α, opening direction β, and a crystallographic decomposition into screw (longitudinal) and edge (transverse) components relative to the crack front.

Argos2D — Fracture tab showing crack opening fields

Dataset from A. Rouwane, D. Texier, J.-N. Périé, J.-E. Dufour, J.C. Stinville et al., Optics and Laser Technology, Vol. 177, 2024. Courtesy of Damien Texier.

Strain Post-Processing

Customizable derivative kernels and built-in criteria.

Compute the full strain tensor (εxx, εyy, εxy) from displacement fields using separable gradient operators.

  • Separable gradient kernels — Sobel, Scharr, centered finite differences, or custom
  • Custom expressions — built-in math parser for user-defined strain criteria
Argos2D — Strain tab with kernel selector and custom criterion editor

Dataset from A. Rouwane, D. Texier, J.-N. Périé, J.-E. Dufour, J.C. Stinville et al., Optics and Laser Technology, Vol. 177, 2024. Courtesy of Damien Texier.

Mosaic Stitching & Batch Mode

Large-area analysis from tiled acquisitions.

Assemble multi-tile acquisitions into a seamless mosaic before running DIC.

  • Automated grid layout — row/column organization with configurable overlap, handles missing tiles
  • Batch mode — process each tile pair independently without stitching, for high-throughput analysis
Argos2D — Mosaic stitching mode

Dataset from A. Rouwane, D. Texier, J.-N. Périé, J.-E. Dufour, J.C. Stinville et al., Optics and Laser Technology, Vol. 177, 2024. Courtesy of Damien Texier.

Under the Hood

Core engine specifications.

GPU Correlation CUDA-native correlation with multi-GPU support
Pixel Search Hierarchical coarse-to-fine + FFT-accelerated mode
Sub-pixel Optimization IC-GN (Inverse Compositional Gauss-Newton) with bilinear, bicubic, or B-spline cubic interpolation
Shape Functions Translation (2 DOF), affine (6 DOF), Heaviside-enriched (10 DOF), twinning mode (11 DOF)

Get Argos2D

To request a license or try Argos2D, contact us: contact@argos-correlation.com

System requirements

  • Windows 10/11 (64-bit)
  • NVIDIA GPU (minimum: Turing generation, e.g. GTX 16xx / RTX 20xx)

Coming Soon

Argos3D is currently in development.

About the Author

Samuel Wantz, PhD

Founder & R&D Software Developer — Sam'Strain

Specialized in Digital Image Correlation (DIC) and Digital Volume Correlation (DVC) with expertise in experimental mechanics, image processing and X-ray Computed Tomography. PhD from Université de Poitiers, France, on metrological assessment and optimization of XR-CT and DVC protocols for mechanical testing.