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02_​Image_​Montage

Image Montage

This workflow creates a 3x3-montage out of 9 ordered, equisized (X,Y,Channel)-images where Channel is RGB. The first image maps to the upper left corner of the montage, the last image to the lower right corner.
Montage creation is done channel-wise, i.e. the image is first split into its different channels. The resulting montages are merged again in the end.

General InformationPress the green double arrow above to run the complete workflow. You may have to scroll down tosee all contents of this tutorial.To see the contents of a meta node (grey nodes) you can Double-Click on it, which opens a newtab with the nodes contained in this meta node.Workflow Information:This workflow creates a 3x3-montage out of 9 ordered, equisized (X,Y,Channel)-images whereChannel is RGB. The first image maps to the upper left corner of the montage, the last image to thelower right corner.Montage creation is done channel-wise, i.e. the image is first split into its different channels. Theresulting montages are merged again in the end.Note: Use the RGB Image Renderer in the Image Viewer Node to see all channels of the finalmontage.Note: The dimension counts and sizes in this workflow are hard-coded (100x100x3-images, 3x3-montage, 300x300-montage pixels, etc.) in order to keep the example simple. Use flow variablesand calculation nodes for a more general solution. Nodes containing hard-coded values are taggedwith "(user-defined)".Prerequisites:In order to understand this tutorial we suggest that you also look at the following:01_RGB_SplittingBasic Node TutorialsIf you need more information about other topics and more tutorials, see:http://tech.knime.org/community/image-processingIf you have any questions, please contact us via our forum:http://tech.knime.org/forum/knime-image-processing/Workflow Requirements:KNIME 3.2.0KNIME Image Processing 1.5.2Workflow updated on 19/07/2016 9 imagessplit channelscollect per-channelmontagesloop overchannelcreate montages(user-defined)merge channelmontages Image Reader Splitter Loop End Column ListLoop Start Per-Channel Montage Transpose Merger Image Viewer General InformationPress the green double arrow above to run the complete workflow. You may have to scroll down tosee all contents of this tutorial.To see the contents of a meta node (grey nodes) you can Double-Click on it, which opens a newtab with the nodes contained in this meta node.Workflow Information:This workflow creates a 3x3-montage out of 9 ordered, equisized (X,Y,Channel)-images whereChannel is RGB. The first image maps to the upper left corner of the montage, the last image to thelower right corner.Montage creation is done channel-wise, i.e. the image is first split into its different channels. Theresulting montages are merged again in the end.Note: Use the RGB Image Renderer in the Image Viewer Node to see all channels of the finalmontage.Note: The dimension counts and sizes in this workflow are hard-coded (100x100x3-images, 3x3-montage, 300x300-montage pixels, etc.) in order to keep the example simple. Use flow variablesand calculation nodes for a more general solution. Nodes containing hard-coded values are taggedwith "(user-defined)".Prerequisites:In order to understand this tutorial we suggest that you also look at the following:01_RGB_SplittingBasic Node TutorialsIf you need more information about other topics and more tutorials, see:http://tech.knime.org/community/image-processingIf you have any questions, please contact us via our forum:http://tech.knime.org/forum/knime-image-processing/Workflow Requirements:KNIME 3.2.0KNIME Image Processing 1.5.2Workflow updated on 19/07/2016 9 imagessplit channelscollect per-channelmontagesloop overchannelcreate montages(user-defined)merge channelmontages Image Reader Splitter Loop End Column ListLoop Start Per-Channel Montage Transpose Merger Image Viewer

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: jlabimaging
Created at: 2016-04-14
On NodePit since: 2019-07-12
Last update: 2024-04-18
Created with KNIME version: v3.2.0
Tags: image processing

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