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MiToBo - A Toolbox for Image Processing and Analysis Cover

MiToBo - A Toolbox for Image Processing and Analysis

Open Access
|Apr 2016

Figures & Tables

Figure 1

The main window of Alida’s operator runner which allows to select any of the available MiToBo image processing operators (top left), and two automatically generated control and configuration windows for operators (right and bottom).

Figure 2

Example call of an image analysis operator from command line. The operator GaussFilter is executed to apply a Gaussian filter with standard deviation of 1.4 to the input image cell.tif, generating the filtered result image cell-g3.tif.

Figure 3

Example processing graph representing the history of operations for producing the image data object shown as yellow ellipse. Each operator invocation is represented by a blue rectangle. Light and dark green ellipses are input and output ports of operators, gray triangles depict data ports representing newly generated data. The rightmost window displays the parameters and software version for the operator ALDClusterExperiment during execution.

Figure 4

Screen shot of Alida’s graphical programming editor Grappa. The operator chooser panel on the left allows to choose from all available operators. The main panel shows a workflow composed of various opertors connected by edges defining the data flow. Additional parameters may be set via the same automatically generated GUIs available within the operator runner.

DOI: https://doi.org/10.5334/jors.103 | Journal eISSN: 2049-9647
Language: English
Published on: Apr 28, 2016
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2016 Birgit Möller, Markus Glaß, Danny Misiak, Stefan Posch, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.