fluxTrainer Documentation
4.22.0
Contents
Introduction to Hyperspectral Imaging
Data Modelling
Data Acquisition
Advanced Topics
Available Filters
Classification
Color
Decomposition
Object Detection
Object Processing
Dimensionality Reduction
Image Processing
Mask and Selection
Math
Preprocessing
Regression
Thin-Film
fluxTrainer Documentation
Available Filters
Available Filters
Contents
Classification
Distance Classifier Filter
Support Vector Machines Filter
Class Mapping Filter
Min/Max Classification Filter
Per-Pixel Decision Graph Filter Reference
Color
Color Determination Filter
Color Conversion Filter
Similarity Based Color Map Filter
ΔE Calculation Filter Reference
Decomposition
Endmember Extraction Filter
Abundance Determination Filter
Object Detection
Mask-Based Object Detector Filter
Similarity-Based Object Detector Filter
Object Processing
Per-Object Averaging Filter
Per-Object Counter Filter
Per-Object Scatter Correction Filter
Per-Object Distance Variation Filter
Object Reclassification Filter
Object Region Averaging Filter
Per-Object Statistics Filter Reference
Per-Object Decision Graph Filter Reference
Dimensionality Reduction
Principal Component Analysis Filter
Linear Discriminant Analysis Filter
Subspace Projection Filter
Image Processing
Kernel Operation Filter
Mask and Selection
Background Masking Filter
Masked-Based Selection Filter
Threshold Filter
Channel Selection Filter
Channel Stack Filter
Logical Operation Filter
Math
Clamp Values Filter
Coefficient-Wise Operation Filter
Gini Coefficient Filter
Instrument Function Filter
Wavelength/Frequency Converter Filter
Matrix Multiplication Filter
Peak Counter Filter
Vegetation Index Filter
Integral Filter
Peak Position To Band Gap Filter
Preprocessing
Linear Interpolation Filter Reference
Akima Interpolation Filter Reference
Savitzky Golay Filter
Baseline Correction Filter
Standard Normal Variate Filter
Normalization Filter
Regression
Partial Least Squares Filter
Thin-Film
Peak-based Single-Layer Thickness Filter
Fit-based Thickness Filter