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Join the chat at https://gitter.im/knime-ip/knip

KNIME Image Processing Extension

The KNIME Image Processing Extension adds new nodes to KNIME Analytics Platform to, e.g. read more than 100 different kinds of images (thanks to the Bio-Formats library), apply well-known methods for preprocessing, image segmentation, and classification. Most of the included nodes operate on multi-dimensional image data (e.g. videos, 3D images, multi-channel images or even a combination of them), which is made possible by ImgLib2. In addition, several nodes to calculate image features (e.g. zernike-, texture- or histogram features) for segmented images (e.g. a single cell) are included. These feature vectors can be used to apply machine learning methods in order to train and apply a classifier.

The KNIME Image Processing Extension currently provides about 90 nodes for (pre)processing, filtering, segmentation, feature extraction, various views, ....

For more information how to install/use KNIME Image Processing see: https://www.knime.com/community/image-processing

Example Workflows can be found at: https://hub.knime.com/knime/spaces/Examples/latest/99_Community/01_Image_Processing/

Package Organization

  • org.knime.knip.core: Logic/Algorithms/DataStructures/Views independent of KNIME
  • org.knime.knip.base: KNIME Image Processing Nodes wrapping core and providing dedicated KNIME Image Processing functionality (NodeModels etc).
  • org.knime.knip.feature: Eclipse feature for org.knime.knip.core and org.knime.knip.base
  • org.knime.knip.testing: KNIME Image Processing Testing nodes, e.g. for regressions tests.
  • org.knime.knip.testing.feature: Eclipse feature for KNIME Image Processing Testings nodes.
  • org.knime.knip.io: Image Reader/Image Writer for KNIME Image Processing.
  • org.knime.knip.update: Eclipse update site for KNIME Image Processing and depedencies.
  • org.knime.knip.tracking: TrackMate Tracking integration.

For Developers

See this repository for instructions.