
ParaView Plugins
This is a set of different plugins for ParaView.
I mostly used these plugins for visualization of graph structures (vascular networks).
 VesselTubeFilter
Renders cylinder/cone/arrow at edges, glyph radius can be set manually (constant) or dynamically as defined by vertex/edge attribute
 PointSphereFilter
Renders sphere centered at vertices, radius either fixed or specified by vertex attribute
 ThresholdPointsFilter
Apply threshold to vtkPolyData with respect to point attributes (Paraview only supports thresholding based on edge attributes as of v4.2)
 Quiver
Quiver plots from 3D image stacks for visualization of vector fields, for instance.
 Centered slice representation
Visualize 2D slices of image stacks located at voxel centers. ParaView's slice representation results in distorted voxels, see here (ParaView mailing list).


ITK/VTK wrappers for Matlab
This is a set of wrapper functions to use ITK/VTK from within Matlab.
You can use the included CMake file to build the mex files on your system.
At this point there are only very few ITK/VTK functions implemented in the toolbox.
Still, you might want to use it as a stub to easily implement your own wrappers.
Overview of implemented wrappers:
 Reading/writing image data (itkImageFileReader)
 Linear filtering with Gaussian and Gaussian derivatives kernels (itkDiscreteGaussianImageFilter)
 3D connected component labeling (itk::ConnectedComponentImageFilter)
 Mean filter (itkMeanImageFilter)
 Sobel filter (itkSobelEdgeDetectionImageFilter)
 Morphological operation (itkBinary[DilateErode]ImageFilter, itkBinaryMorphological[ClosingOpening]ImageFilter
 Multiscale vesselness filter (itkHessian3DToVesselnessMeasureImageFilter)
 Import/Export graph structures (vtkPolyDataReader)


SliceViewer for Matlab
This is a simple GUI to explore 3D image stacks in Matlab.
The GUI allows to overlay binary (segmentation) masks and to do simple analysis on the image stacks.


AudioLab v1.0
AudioLab provides a simple GUI to do basic analysis of audio signals and Dualtone multifrequency signaling (DTMF).
I developed this piece of software in Java for a research project (Facharbeit) in my final year at highschool (LeibnizGymnasium Altdorf, Germany).
A more detailed description and documentation from 2004 can be found here (German only, sorry!).
Matthias Schneider.
Untersuchungen zu digitalisierten Signalen und deren
Frequenzanalyse.
Facharbeit aus der Physik, LeibnizGynasium Altdorf, 2004.
