1 Introduction
The KNIME Image Processing Extension adds new image types and functions
to process and analyze images to KNIME. The corresponding nodes allow
one to read more than 100 different kinds of images (thanks to the BioFormats
API1
), to apply well known methods for the preprocessing and to
perform image segmentation. Most of the included nodes operate on multidimensional
image data (e.g. videos, 3D images, multi-channel images or
even a combination of them), which is made possible by the internally used
ImgLib2-API2
.
Further details and news regarding the KNIME Image Processing Extension
can be found at http://tech.knime.org/community/image-processing.
This manual is targeted to users that are already familiar with KNIME
and want to learn the usage of the KNIME Image Processing Extension. If
you are not familiar with the basic principles of KNIME we highly recommend
to get started with the KNIME basics first, e.g. by reading http://tech.
knime.org/getting-started.
1.1 Installation
The KNIME Image Processing Extension is part of the community contributions3
. The Community Contributions offer a wide range of KNIME nodes
from different application areas, such as chemo- and bioinformatics, image
processing, or information retrieval. In contrast to the extensions available
via the standard KNIME Update Site they are provided and maintained by
various community developers.
To install KNIME and the KNIME Image Processing extension just follow
the listed steps:
• Download and un-pack KNIME from http://www.knime.org/downloads,
run it by using the respective executable in the KNIME directory (e.g.
knime.exe)
• Install the KNIME Image Processing Extension: File > Install KNIME
Extension... > KNIME Community Contributions - Imaging; check