Tools

By default, these tools (implemented in modules) are shipped with open_iA:

• 4DCT - analyzing the evolution of damage in a time series of CT datasets
• AI - allows execution of ONNX networks using ONNX runtime
• DreamCaster - optimiziation of specimen placement
• Dynamic Volume Lines - interactive visual analysis of sets of 3D volumes.
• FeatureAnalyzer - analyze parameter space of feature characterization pipelines
• FeatureScout (formerly known as FiberScout) - analyzing feature characteristics
• FIAKER - analyze and compare results of (iterative) fiber reconstruction algorithms
• FuzzyFeatureTracking - track the development of damage in a time series of CT datasets
• GEMSe - analyze the parameter space of multi-modal image segmentation algorithms
• InSpectr - visualize combination of CT with spectral datasets
• MObjects - mean object over multiple e.g. pores
• Multi-Modal Transfer Functions - defining transfer functions and weightings for blending two to three modalities
• PorosityAnalyzer - analyze parameter and result space of porosity computation pipelines.
• Triple Histogram Transfer Function - allows comparision of different modalities using Histogram transfer functions

Test datasets for most of these tools are included in our test datasets. You can extend open_iA by developing your own modules.