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Seed Generator

StreamableKNIME Image Types and Nodes version 1.7.0.201812031714 by University of Konstanz

Generates a seeded labeling. E.g. useful for a watershed algorithm.

Options

Seeding method
Select a seeding method here. The seeds can either be generated based on the pixel value of the input image (Image_Probability), or generated independent from the image (randomly or arranged in a regular grid).
Average distance
The average number of pixel the seeds are going to have in one dimension in average.
Move seeding point to minimum in local neighborhood
Determines if the labelings should be moved to a local minimum after their creation.

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

Images

Output Ports

Seeds Labeling

Views

Image Viewer
Another, possibly interactive, view on table cells. Displays the selected cells with their associated viewer if it exists. Available views are:
- Labeling View
-- View on a labeling/segmentation
- Histogram Viewer
-- This viewer shows the histogram of the currently selected image.
- 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.
- XML
-- XML tree
- Missing Value Viewer
-- An empty viewer that is shown when the input cell has no value to display.
- Image Viewer
-- This viewer renders the selected image-cell.
- 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.

Update Site

To use this node in KNIME, install KNIME Image Types and Nodes from the following update site:

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