Update README

Author: stelfrich

README.md

@@ -5,31 +5,27 @@
 KNIME Image Processing Extension
 ====
 
-The KNIME Image Processing Extension adds new nodes to KNIME (www.knime.org) to e.g. read more than 100 different kinds of images (thanks to the Bio-Formats API), 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 the ImgLib2-API. In addition several nodes are included to calculate image features (e.g. zernike-, texture- or histogram features) for segmented images (e.g. a single cell). These feature vectors can then be used to apply machine learning methods in order to train and apply a classifier. 
+The KNIME Image Processing Extension adds new nodes to [KNIME Analytics Platform](https://knime.com) 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](https://imagej.net/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, ....
+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:
-http://tech.knime.org/community/image-processing
+https://www.knime.com/community/image-processing
 
 Example Workflows can be found at:
-http://tech.knime.org/community/image-processing#exampleworkflows
+https://hub.knime.com/knime/spaces/Examples/latest/99_Community/01_Image_Processing/
 
-KNIME Image Processing Webinar on YouTube (03/25/2014):
-http://www.youtube.com/watch?v=MqSIyqmm3EU&feature=youtu.be&a 
+# Package Organization
 
-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.
 
-* 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
 
-For Developers:
-====
 See [this repository](https://github.com/knime-ip/knip-sdk-setup) for instructions.