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Filters

Bernhard Froehler edited this page Sep 9, 2024 · 7 revisions

open_iA provides several filters for processing datasets, for example:

  • Edge Detection
  • Morphology Filters
  • Resampling
  • Segmentation
  • Smoothing
  • and many more

These filters are available via the "Filters" menu entry. Most filters create a new dataset (most of the time an image). You can specify whether the new dataset should be added to the current child window or to a new window via the preferences (accessible either via Edit->Preferences or the settings icon in the toolbar on the bottom), see the checkbox "Results in new window".

Most filters have at least one parameter; when selecting a filter with parameters from the Filters menu, a parameter input dialog will open. In this dialog, for most filters you will find a detailed description on how to parameterize them and what input they require.

See the "Select and Run Filter..." entry in the Filter menu for an alphabetically sorted overview of all available filters; you can also search for a specific filter by name (parts) there.

For implementation details, see the respective module folder where the filter is implemented. Most image processing filters are implemented in the CommonImageFilters module; except for Segmentation filters which have their own module, as well as the Surface filters for meshes, and some specialized filters, like the Entropy filter in the Uncertainty module.

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