Install KNIME Image Processing

1. Installation of KNIME Analytics Platform

Please follow the instructions of KNIME Analytics Platform Installation Guide.

2.1. Installation of KNIME Image Processing

  • Open File > Install KNIME Extensions in KNIME Analytics Platform

  • Select KNIME Image Processing from the KNIME Community Extensions - Image Processing and Analysis category

  • Follow the on-screen instructions to complete the installation

Additional Information

2.2. Installation of optional KNIME Image Processing extensions

The KNIME Community Extensions - Image Processing and Analysis category contains a lot more functionality besides the core KNIME Image Processing extension (e.g. ImageJ2, Tess4J, CellProfiler, ilastik Integrations). However, extensions are served from two different software sites according to their maturity (see "Why are there two software sites (Trusted & Experimental)?" below for more details): In order to install extensions from the KNIME Community Extensions (Experimental) software site, first follow instructions of 2.2.1.

2.2.1. Enabling the Experimental software site

  • Open Help > Install New Software... in KNIME Analytics Platform

  • Click on "Manage...":
  • Activate the KNIME Community Extensions (Experimental) software site:

  • Confirm your new settings with “Apply and Close”

2.2.1. Installing the extensions

  • Follow instructions of step 2.1. and expand the KNIME Community Extensions - Image Processing and Analysis category for a list of available extensions

Additional Information

  • Why isn’t KNIME Image Processing part of KNIME already?
    KNIME is Plugin-based, besides the basic KNIME Installation you can add additional functionality to KNIME, e.g. Image Processing, Network Mining, Text Processing, Chemo Informatics, WEKA Machine Learning and so on.

  • Why are there two software sites (Trusted & Experimental)?
    The KNIME Community Extensions (Trusted) software site only contains extensions that are heavily tested and fulfil a certain set of requirements (e.g. backwards compatibility, maintenance, etc.) On the other hand, there are plugins like the ImageJ(2) Integration which are still in beta mode (as ImageJ2 itself is beta) and, therefore, can't be backwards compatible. Hence, for such cases we wait until the plugins have matured and stabilized before they are moved from the "Experimental" software site to the "Trusted".

  • How to install additional plugins?
    In general, updates can be provided via so called software sites. You can add as many software sites to your KNIME Analytics Platform installation as you wish (and even create your own ones). For more information see: https://docs.knime.com/latest/analytics_platform_extensions_and_integrations.

  • How to add a software site?
    We refer you to https://knime.com/downloads/update, which gives an easy example of how to add a software site to your KNIME Analytics Platform.

3. Set your memory (RAM)

  • It is important to increase the maximum memory assigned to KNIME Analytics Platform if you want to use the KNIME Image Processing Extension (especially for large, multi-dimensional images of file sizes >50MB)

  • Find out how much memory your computer has and set in the “knime.ini” the value “-Xmx” to ½  or ¾ of your total memory, e.g. “-Xmx6g” (= 6GB)

  • See https://knime.com/faq#q4_2 for additional information

4. Load your first Workflow

Additional Information

  • If you need more information on how to create a workflow and how KNIME Analytics Platform works in general, we refer you to KNIME Quickstart Guide.

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