LightForm, Inc.
- Home
- Companies
- LightForm, Inc.
- Software
- Pariss - Hyperspectral Imaging Software
Pariss - Hyperspectral Imaging Software
FromLightForm, Inc.
PARISS hyperspectral imaging software performs supervised and un-supervised spectral classification and creates reference spectral libraries. Signals buried in noise are revealed using spectral waveform cross-correlation (SWCCA)
Most popular related searches
Programing language: Python.
Spectral classification: Unsupervised and supervised spectral classification. The user controls the number of revealed classes. Algorithms based on Spectral Waveform Cross-Correlation (SWCCA)
Reference Spectral Libraries (RSL): A libraries of spectral classes that correlate with known objects or conditions. Classes can be added or removed, named and pseudo-colored by the user
Spectral recognition: Correlates spectra presented by objects in the FOV with library spectra. The user selects the degree of correlation as a function of a user-selected minimum correlation coefficient (MCC) based on SWCCA.
Spectroscopy functions: Math functions enable % Reflection, %Transmission, Fluorescence, Luminescence…
Spectral plots: Single and multiple in 3D
Camera control: Both the spectrum camera and observed image cameras
Statistics: Display in a histogram or pie-chart format