OrientationJ Measurement

This node performs quantitative orientation measurements according to the ImageJ plugin OrientationJ1 by the Biomedical Imaging Group (BIG) . It is able to extract the following features from an image: energy, orientation and coherency. A brief theoretical background can be found here .
A Laplacian of Gaussian filtering can be applied as an preprocesing step to the images.
Input must be images with only two dimensions. If needed, images can be sliced with the Image Cropper node.

1 Z. Püspöki, M. Storath, D. Sage, M. Unser
Transforms and Operators for Directional Bioimage Analysis: A Survey
Advances in Anatomy, Embryology and Cell Biology, vol. 219, Springer International Publishing, ch. 3, 2016.

Options

Laplacian of Gaussian (sigma)
If sigma is greater than zero, a Laplacian of Gaussian filtering will be applied as preprocessing onto the image.
Energy
If selected, the energy feature will be extracted.
Orientation
If selected, the orientation feature will be extracted.
Coherency
If selected, the coherency feature will be extracted.

Column Selection

Column Creation Mode

Mode how to handle the selected column. The processed column can be added to a new table, appended to the end of the table, or the old column can be replaced by the new result

Column Suffix
A suffix appended to the column name. If "Append" is not selected, it can be left empty.
Column Selection
Selection of the columns to be processed.

Input Ports

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Input table containing a column with images.

Output Ports

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Output table with the selected features.

Views

Image Viewer
Another, possibly interactive, view on table cells. Displays the selected cells with their associated viewer if it exists. Available views are:
- BigDataViewer
-- A viewer shown when the user selects an interval of rows and columns in the viewer. This viewer combines all images and labelings in the selected interval to one image by rendering them next to each other. Alternatively, the images and labelings can be layed over each other.
- XML
-- XML tree
- Histogram Viewer
-- This viewer shows the histogram of the currently selected image.
- Image Viewer
-- This viewer renders the selected image-cell.
- Combined View
-- A viewer shown when the user selects an interval of rows and columns in the viewer. This viewer combines all images and labelings in the selected interval to one image by rendering them next to each other. Alternatively, the images and labelings can be layed over each other.
- Missing Value Viewer
-- An empty viewer that is shown when the input cell has no value to display.
- Labeling View
-- View on a labeling/segmentation

Workflows

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Links

Developers

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